George Athanasopoulos : Citation Profile

Are you George Athanasopoulos?

Monash University (50% share)
Monash University (50% share)

15

H index

20

i10 index

738

Citations

RESEARCH PRODUCTION:

33

Articles

50

Papers

RESEARCH ACTIVITY:

   20 years (2001 - 2021). See details.
   Cites by year: 36
   Journals where George Athanasopoulos has often published
   Relations with other researchers
   Recent citing documents: 138.    Total self citations: 45 (5.75 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pat48
   Updated: 2023-03-25    RAS profile: 2020-12-07    
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Relations with other researchers

Works with:

Hyndman, Rob (17)

Panagiotelis, Anastasios (10)

Vahid, Farshid (4)

Raghavan, Mala (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with George Athanasopoulos.

Is cited by:

Hyndman, Rob (45)

Shang, Han Lin (18)

Nikolopoulos, Konstantinos (15)

Thomakos, Dimitrios (14)

Martinez, Andrew (13)

Hendry, David (13)

Franses, Philip Hans (13)

Saayman, Andrea (12)

Castle, Jennifer (12)

Paccagnini, Alessia (11)

Fiszeder, Piotr (11)

Cites to:

Hyndman, Rob (90)

Vahid, Farshid (23)

Sims, Christopher (16)

Panagiotelis, Anastasios (14)

Phillips, Peter (13)

Shang, Han Lin (12)

Watson, Mark (12)

Snyder, Ralph (11)

Reichlin, Lucrezia (10)

Engle, Robert (10)

Marcellino, Massimiliano (7)

Main data

Where George Athanasopoulos has published?

Journals with more than one article published# docs
International Journal of Forecasting13
European Journal of Operational Research2
Tourism Management2
The Economic Record2

Working Papers Series with more than one paper published# docs
Monash Econometrics and Business Statistics Working Papers / Monash University, Department of Econometrics and Business Statistics37
FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) / EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil)5
Working Papers / University of Tasmania, Tasmanian School of Business and Economics2

Recent works citing George Athanasopoulos (2022 and 2021)

YearTitle of citing document
2021Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx. (2021). Weron, Rafał ; Marcjasz, Grzegorz ; Dubrawski, Artur ; Challu, Cristian ; Olivares, Kin G. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2107.

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2021Text-based crude oil price forecasting. (2020). Jia, Suling ; Yu, Hao ; Li, Xixi ; Bai, Yun. In: Papers. RePEc:arx:papers:2002.02010.

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2021Identifiability and Estimation of Possibly Non-Invertible SVARMA Models: A New Parametrisation. (2020). Funovits, Bernd. In: Papers. RePEc:arx:papers:2002.04346.

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2022Dimension Reduction for High Dimensional Vector Autoregressive Models. (2020). Hecq, Alain ; Cubadda, Gianluca. In: Papers. RePEc:arx:papers:2009.03361.

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2021Using social network and semantic analysis to analyze online travel forums and forecast tourism demand. (2021). Colladon, Fronzetti A ; Innarella, R ; Guardabascio, B. In: Papers. RePEc:arx:papers:2105.07727.

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2022Bayesian forecast combination using time-varying features. (2021). Li, Feng ; Kang, Yanfei. In: Papers. RePEc:arx:papers:2108.02082.

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2022The DONUT Approach to EnsembleCombination Forecasting. (2022). Krange, Kjartan ; Ankile, Lars Lien. In: Papers. RePEc:arx:papers:2201.00426.

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2022Scarring effects of the COVID-19 pandemic on the Italian labour market. (2022). Fiaschi, Davide ; Tealdi, Cristina. In: Papers. RePEc:arx:papers:2202.13317.

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2022Optimal reconciliation with immutable forecasts. (2022). Li, Feng ; Panagiotelis, Anastasios ; Kang, Yanfei ; Zhang, Bohan. In: Papers. RePEc:arx:papers:2204.09231.

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2022Global combinations of expert forecasts. (2022). Vasnev, Andrey L ; Thompson, Ryan ; Qian, Yilin. In: Papers. RePEc:arx:papers:2207.07318.

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2021Demand Forecasting with Supply?Chain Information and Machine Learning: Evidence in the Pharmaceutical Industry. (2021). Zhao, Hui ; Ninh, Anh ; Zhu, Xiaodan ; Liu, Zhenming. In: Production and Operations Management. RePEc:bla:popmgt:v:30:y:2021:i:9:p:3231-3252.

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2021The good, the bad and the ugly on COVID-19 tourism recovery. (2021). , Tzung-Cheng ; Polyzos, Stathis ; Fotiadis, Anestis. In: Annals of Tourism Research. RePEc:eee:anture:v:87:y:2021:i:c:s0160738320302619.

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2021Visitor arrivals forecasts amid COVID-19: A perspective from the Asia and Pacific team. (2021). Ohe, Yasuo ; Pratt, Stephen ; Petit, Sylvain ; Dropsy, Vincent ; Wu, Doris Chenguang. In: Annals of Tourism Research. RePEc:eee:anture:v:88:y:2021:i:c:s0160738321000177.

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2021Visitor arrivals forecasts amid COVID-19: A perspective from the Europe team. (2021). Blake, Adam ; Giannoni, Sauveur ; Ramos, Vicente ; Vici, Laura ; Liu, Anyu. In: Annals of Tourism Research. RePEc:eee:anture:v:88:y:2021:i:c:s016073832100044x.

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2021Visitor arrivals forecasts amid COVID-19: A perspective from the Africa team. (2021). Saayman, Andrea ; Jean-Pierre, Philippe ; Volo, Serena ; Seetaram, Neelu ; Sahli, Mondher ; Provenzano, Davide ; Kourentzes, Nikolaos. In: Annals of Tourism Research. RePEc:eee:anture:v:88:y:2021:i:c:s0160738321000694.

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2021Tourism demand forecasting with time series imaging: A deep learning model. (2021). Fan, Zhi-Ping ; Li, Hui ; Bi, Jian-Wu. In: Annals of Tourism Research. RePEc:eee:anture:v:90:y:2021:i:c:s016073832100133x.

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2021Forecasting tourism demand: Developing a general nesting spatiotemporal model. (2021). Li, Gang ; Jiao, Xiaoying. In: Annals of Tourism Research. RePEc:eee:anture:v:90:y:2021:i:c:s0160738321001559.

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2022Tourism demand forecasting with spatiotemporal features. (2022). Ge, Peng ; Zheng, Weimin ; Li, Cheng. In: Annals of Tourism Research. RePEc:eee:anture:v:94:y:2022:i:c:s0160738322000354.

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2022Effects of spatial distance on consumers review effort. (2022). Zhang, Zili ; Chen, Ying ; Qiao, Shuchen. In: Annals of Tourism Research. RePEc:eee:anture:v:94:y:2022:i:c:s0160738322000573.

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2021Heat load forecasting using adaptive temporal hierarchies. (2021). Madsen, Henrik ; Guericke, Daniela ; Palsson, Olafur Petur ; Nystrup, Peter ; Moller, Jan Kloppenborg ; Bergsteinsson, Hjorleifur G. In: Applied Energy. RePEc:eee:appene:v:292:y:2021:i:c:s0306261921003603.

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2021A meta-learning based distribution system load forecasting model selection framework. (2021). Zhang, SI ; Li, Yiyan ; Lu, Ning ; Hu, Rongxing. In: Applied Energy. RePEc:eee:appene:v:294:y:2021:i:c:s0306261921004591.

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2021A novel method for online real-time forecasting of crude oil price. (2021). Gong, Xue ; Zhang, Weiguo ; Zhao, Yuan ; Wang, Chao. In: Applied Energy. RePEc:eee:appene:v:303:y:2021:i:c:s0306261921009648.

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2021Review of low voltage load forecasting: Methods, applications, and recommendations. (2021). Voss, Marcus ; Giasemidis, Georgios ; Arora, Siddharth ; Haben, Stephen ; Greetham, Danica Vukadinovi. In: Applied Energy. RePEc:eee:appene:v:304:y:2021:i:c:s0306261921011326.

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2022An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting. (2022). Wang, Shouyang ; Han, Jing ; Sun, Shaolong ; Guo, Ju-e, ; Yang, Dongchuan. In: Applied Energy. RePEc:eee:appene:v:306:y:2022:i:pa:s0306261921012952.

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2022Point and interval forecasting system for crude oil price based on complete ensemble extreme-point symmetric mode decomposition with adaptive noise and intelligent optimization algorithm. (2022). Li, Shaoting ; Wang, Xuerui. In: Applied Energy. RePEc:eee:appene:v:328:y:2022:i:c:s0306261922014519.

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2022Intraday Trading of Precious Metals Futures Using Algorithmic Systems. (2022). Gil, Cohen. In: Chaos, Solitons & Fractals. RePEc:eee:chsofr:v:154:y:2022:i:c:s0960077921010304.

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2022Prediction of crude oil prices in COVID-19 outbreak using real data. (2022). Kaymak, Yiit. In: Chaos, Solitons & Fractals. RePEc:eee:chsofr:v:158:y:2022:i:c:s0960077922002004.

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2022Forecasting of a complex phenomenon using stochastic data-based techniques under non-conventional schemes: The SARS-CoV-2 virus spread case. (2022). Samaniego, Esteban P ; Ochoa-Sanchez, Ana ; Mendoza, Daniel E. In: Chaos, Solitons & Fractals. RePEc:eee:chsofr:v:158:y:2022:i:c:s0960077922003071.

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2021Forecasting tourism with targeted predictors in a data-rich environment. (2021). Rua, Antonio ; Gouveia, Carlos Melo ; Loureno, Nuno. In: Economic Modelling. RePEc:eee:ecmode:v:96:y:2021:i:c:p:445-454.

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2022An indirect proof for the asymptotic properties of VARMA model estimators. (2022). Melard, Guy. In: Econometrics and Statistics. RePEc:eee:ecosta:v:21:y:2022:i:c:p:96-111.

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2021Retail sales forecasting with meta-learning. (2021). Fildes, Robert ; Ma, Shaohui. In: European Journal of Operational Research. RePEc:eee:ejores:v:288:y:2021:i:1:p:111-128.

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2021A general property for time aggregation. (2021). Rauch, Johannes ; Alexander, Carol. In: European Journal of Operational Research. RePEc:eee:ejores:v:291:y:2021:i:2:p:536-548.

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2021We need to talk about intermittent demand forecasting. (2021). Nikolopoulos, Konstantinos. In: European Journal of Operational Research. RePEc:eee:ejores:v:291:y:2021:i:2:p:549-559.

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2021Forecasting Swiss exports using Bayesian forecast reconciliation. (2021). Hyndman, Rob ; Eckert, Florian ; Panagiotelis, Anastasios. In: European Journal of Operational Research. RePEc:eee:ejores:v:291:y:2021:i:2:p:693-710.

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2021Understanding forecast reconciliation. (2021). Tipping, Michael E ; Petropoulos, Fotios ; Hollyman, Ross. In: European Journal of Operational Research. RePEc:eee:ejores:v:294:y:2021:i:1:p:149-160.

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2022Forecast with forecasts: Diversity matters. (2022). Li, Feng ; Petropoulos, Fotios ; Cao, Wei ; Kang, Yanfei. In: European Journal of Operational Research. RePEc:eee:ejores:v:301:y:2022:i:1:p:180-190.

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2023A new taxonomy for vector exponential smoothing and its application to seasonal time series. (2023). Boylan, John E ; Chen, Huijing ; Svetunkov, Ivan. In: European Journal of Operational Research. RePEc:eee:ejores:v:304:y:2023:i:3:p:964-980.

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2023Probabilistic forecast reconciliation: Properties, evaluation and score optimisation. (2023). Athanasopoulos, George ; Gamakumara, Puwasala ; Panagiotelis, Anastasios. In: European Journal of Operational Research. RePEc:eee:ejores:v:306:y:2023:i:2:p:693-706.

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2021Application of bagging in day-ahead electricity price forecasting and factor augmentation. (2021). Yildirim, Dilem ; Ozen, Kadir. In: Energy Economics. RePEc:eee:eneeco:v:103:y:2021:i:c:s0140988321004448.

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2021Commodity prices and global economic activity: A derived-demand approach. (2021). Gaglianone, Wagner ; Issler, Joo Victor ; de Carvalho, Osmani Teixeira ; Duarte, Angelo Mont'Alverne ; Angelo Mont'alverne Duarte, . In: Energy Economics. RePEc:eee:eneeco:v:96:y:2021:i:c:s0140988321000256.

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2022Debiasing probabilistic oil production forecasts. (2022). Bratvold, Reidar B ; Nesvold, Erik. In: Energy. RePEc:eee:energy:v:258:y:2022:i:c:s0360544222016474.

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2023Forecasting crude oil price returns: Can nonlinearity help?. (2023). Wang, Yudong ; Wen, Danyan ; He, Mengxi ; Zhang, Yaojie. In: Energy. RePEc:eee:energy:v:262:y:2023:i:pb:s0360544222024756.

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2022Oil futures volatility predictability: New evidence based on machine learning models11All the authors contribute to the paper equally.. (2022). Zhang, Zehui ; Xu, Jin ; Ma, Feng ; Lu, Xinjie. In: International Review of Financial Analysis. RePEc:eee:finana:v:83:y:2022:i:c:s1057521922002538.

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2021Assessing mortality inequality in the U.S.: What can be said about the future?. (2021). Hyndman, Rob J ; Li, Han. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:99:y:2021:i:c:p:152-162.

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2021Recurrent Neural Networks for Time Series Forecasting: Current status and future directions. (2021). Bandara, Kasun ; Bergmeir, Christoph ; Hewamalage, Hansika. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:1:p:388-427.

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2021Kaggle forecasting competitions: An overlooked learning opportunity. (2021). Meldgaard, Jens Peder ; Bojer, Casper Solheim. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:2:p:587-603.

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2021Intermittency and obsolescence: A Croston method with linear decay. (2021). Rossi, R ; Tarim, S A ; Prestwich, S D. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:2:p:708-715.

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2021Investigating the accuracy of cross-learning time series forecasting methods. (2021). Assimakopoulos, Vassilios ; Makridakis, Spyros ; Spiliotis, Evangelos ; Semenoglou, Artemios-Anargyros. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:3:p:1072-1084.

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2021Dimensionality reduction in forecasting with temporal hierarchies. (2021). Madsen, Henrik ; Moller, Jan K ; Lindstrom, Erik ; Nystrup, Peter. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:3:p:1127-1146.

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2021Principles and algorithms for forecasting groups of time series: Locality and globality. (2021). Hyndman, Rob ; Montero-Manso, Pablo. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:4:p:1632-1653.

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2022Classification-based model selection in retail demand forecasting. (2022). Pesch, Robert ; Langrock, Roland ; Jahnke, Hermann ; Ulrich, Matthias ; Senge, Robin. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:1:p:209-223.

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2022Online hierarchical forecasting for power consumption data. (2022). Huard, Malo ; Bregere, Margaux. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:1:p:339-351.

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2022Crude oil price forecasting incorporating news text. (2022). Jia, Suling ; Yu, Hao ; Li, Xixi ; Bai, Yun. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:1:p:367-383.

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2022Forecasting for social good. (2022). Hyndman, Rob ; Syntetos, Aris ; Porter, Michael D ; Hong, Tao ; Ali, Mohammad M ; Rostami-Tabar, Bahman. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:3:p:1245-1257.

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2022Forecasting: theory and practice. (2022). Shang, Han Lin ; Rubaszek, Michał ; Martinez, Andrew ; Grossi, Luigi ; Franses, Philip Hans ; Fiszeder, Piotr ; Clements, Michael ; Castle, Jennifer ; Carnevale, Claudio ; Kolassa, Stephan ; Thorarinsdottir, Thordis ; Guo, Xiaojia ; Reade, James J ; Petropoulos, Fotios ; Nikolopoulos, Konstantinos ; Koehler, Anne B ; Thomakos, Dimitrios ; Browell, Jethro ; Rapach, David E ; Modis, Theodore ; Kang, Yanfei ; Tashman, Len ; Boylan, John E ; Gunter, Ulrich ; Ramos, Patricia ; Ellison, Joanne ; Meeran, Sheik ; Richmond, Victor ; Talagala, Thiyanga S ; Bijak, Jakub ; Guidolin, Massimo ; Pinson, Pierre ; Dokumentov, Alexander ; Jeon, Jooyoung ; Bessa, Ricardo J ; Pedregal, Diego J ; de Baets, Shari ; Ziel, Florian ; Syntetos, Aris A ; Bergmeir, Christoph
2022FFORMPP: Feature-based forecast model performance prediction. (2022). Kang, Yanfei ; Li, Feng ; Talagala, Thiyanga S. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:3:p:920-943.

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2022Retail forecasting: Research and practice. (2022). Kolassa, Stephan ; Ma, Shaohui ; Fildes, Robert. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1283-1318.

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2022The M5 competition: Background, organization, and implementation. (2022). Assimakopoulos, Vassilios ; Spiliotis, Evangelos ; Makridakis, Spyros. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1325-1336.

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2022Predicting/hypothesizing the findings of the M5 competition. (2022). Assimakopoulos, Vassilios ; Spiliotis, Evangelos ; Makridakis, Spyros. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1337-1345.

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2022M5 accuracy competition: Results, findings, and conclusions. (2022). Assimakopoulos, Vassilios ; Spiliotis, Evangelos ; Makridakis, Spyros. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1346-1364.

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2022The M5 uncertainty competition: Results, findings and conclusions. (2022). Assimakopoulos, Vassilios ; Spiliotis, Evangelos ; Makridakis, Spyros ; Winkler, Robert L ; Tsetlin, Ilia ; Gaba, Anil ; Chen, Zhi. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1365-1385.

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2022Simple averaging of direct and recursive forecasts via partial pooling using machine learning. (2022). Jung, Jae-Yoon ; In, Yeonjun. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1386-1399.

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2022Hierarchical forecasting with a top-down alignment of independent-level forecasts. (2022). Li, Feng ; Anderer, Matthias. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1405-1414.

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2022GoodsForecast second-place solution in M5 Uncertainty track: Combining heterogeneous models for a quantile estimation task. (2022). Kanevskiy, Daniel ; Golubyatnikov, Evgeny ; Mamonov, Nikolay ; Gusakov, Igor. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1434-1441.

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2022Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series. (2022). Vogklis, Konstantinos ; Nasios, Ioannis. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1448-1459.

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2022Forecasting with trees. (2022). Torkkola, Kari ; Wang, Yuyang ; Januschowski, Tim ; Gasthaus, Jan ; Hasson, Hilaf ; Erkkila, Timo. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1473-1481.

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2022The performance of the global bottom-up approach in the M5 accuracy competition: A robustness check. (2022). Fildes, Robert ; Ma, Shaohui. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1492-1499.

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2022The uncertainty track: Machine learning, statistical modeling, synthesis. (2022). Ord, Keith. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1526-1530.

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2022Evaluating quantile forecasts in the M5 uncertainty competition. (2022). Tsetlin, Ilia ; Gaba, Anil ; Chen, Zhi ; Winkler, Robert L. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1531-1545.

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2022Understanding machine learning-based forecasting methods: A decomposition framework and research opportunities. (2022). Bojer, Casper Solheim. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1555-1561.

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2023Evaluation of the best M4 competition methods for small area population forecasting. (2023). Temple, Jeromey ; Grossman, Irina ; Wilson, Tom. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:110-122.

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2023Cross-temporal forecast reconciliation: Optimal combination method and heuristic alternatives. (2023). Girolimetto, Daniele ; di Fonzo, Tommaso. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:39-57.

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2022Quantifying the net impact and redistribution effects of airlines’ exits on passenger traffic. (2022). Perez-Granja, Ubay ; Eugenio-Martin, Juan Luis. In: Journal of Air Transport Management. RePEc:eee:jaitra:v:101:y:2022:i:c:s0969699722000278.

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2021Déjà vu: A data-centric forecasting approach through time series cross-similarity. (2021). Assimakopoulos, Vassilios ; Li, Feng ; Athiniotis, Nikolaos ; Petropoulos, Fotios ; Spiliotis, Evangelos ; Kang, Yanfei. In: Journal of Business Research. RePEc:eee:jbrese:v:132:y:2021:i:c:p:719-731.

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2021Volatility forecasting of crude oil futures based on a genetic algorithm regularization online extreme learning machine with a forgetting factor: The role of news during the COVID-19 pandemic. (2021). Yang, Cai ; Zhang, Hongwei ; Weng, Futian. In: Resources Policy. RePEc:eee:jrpoli:v:73:y:2021:i:c:s0301420721001628.

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2022Multi-perspective crude oil price forecasting with a new decomposition-ensemble framework. (2022). Sun, Shaolong ; Zhao, Zhengling ; Guo, Jingjun. In: Resources Policy. RePEc:eee:jrpoli:v:77:y:2022:i:c:s0301420722001854.

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2022A decomposition ensemble based deep learning approach for crude oil price forecasting. (2022). Dong, Yao ; Xiao, Ling ; Hu, Weiqiang ; Jiang, HE. In: Resources Policy. RePEc:eee:jrpoli:v:78:y:2022:i:c:s0301420722003014.

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2022Modeling and investigating the interaction among risk factors of the sustainable petroleum supply chain. (2022). Barua, Mukesh Kumar ; Kumar, Sourabh. In: Resources Policy. RePEc:eee:jrpoli:v:79:y:2022:i:c:s030142072200366x.

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2022A dynamic ensemble learning with multi-objective optimization for oil prices prediction. (2022). Sun, Xiaolei ; Yuan, Jiaxin ; Feng, Qianqian ; Hao, Jun ; Li, Jianping. In: Resources Policy. RePEc:eee:jrpoli:v:79:y:2022:i:c:s0301420722004007.

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2021Intraday shelf replenishment decision support for perishable goods. (2021). Stuckenschmidt, Heiner ; Huber, Jakob. In: International Journal of Production Economics. RePEc:eee:proeco:v:231:y:2021:i:c:s0925527320301985.

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2021Stochastic coherency in forecast reconciliation. (2021). Kourentzes, Nikolaos ; Svetunkov, Ivan ; Pritularga, Kandrika F. In: International Journal of Production Economics. RePEc:eee:proeco:v:240:y:2021:i:c:s0925527321001973.

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2021Artificial intelligence applications in supply chain management. (2021). Fahimnia, Behnam ; Hassanzadegan, Amir ; Ghaderi, Hadi ; Pournader, Mehrdokht. In: International Journal of Production Economics. RePEc:eee:proeco:v:241:y:2021:i:c:s0925527321002267.

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2022Fiscal opacity and reduction of income inequality through taxation: Effects on economic growth. (2022). de Mendonça, Helder ; Baca, Adriana Cabrera ; de Mendona, Helder Ferreira ; deMendona, Helder Ferreira . In: The Quarterly Review of Economics and Finance. RePEc:eee:quaeco:v:83:y:2022:i:c:p:69-82.

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2022Towards the applicability of solar nowcasting: A practice on predictive PV power ramp-rate control. (2022). Yan, KE ; Fang, Lurui ; Lim, Enggee ; Du, Yang ; Chen, Xiaoyang. In: Renewable Energy. RePEc:eee:renene:v:195:y:2022:i:c:p:147-166.

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2021Post-processing in solar forecasting: Ten overarching thinking tools. (2021). van der Meer, Dennis ; Yang, Dazhi. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:140:y:2021:i:c:s1364032121000307.

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2022Solar forecasting with hourly updated numerical weather prediction. (2022). Androulakis, Emmanouil ; Galanis, George ; Yang, Dazhi ; Zhang, Gang. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:154:y:2022:i:c:s1364032121010364.

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2022Systematic variations in exchange rate returns. (2022). Chang, Yu-Chien ; Liu, De-Chih. In: International Review of Economics & Finance. RePEc:eee:reveco:v:82:y:2022:i:c:p:569-583.

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2022Forecasting unemployment in Brazil: A robust reconciliation approach using hierarchical data. (2022). Lila, Mauricio Franca ; Meira, Erick ; Cyrino, Fernando Luiz. In: Socio-Economic Planning Sciences. RePEc:eee:soceps:v:82:y:2022:i:pb:s0038012122000830.

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2021COVID-19 Tourism Recovery in the ASEAN and East Asia Region: Asymmetric Patterns and Implications. (2021). Samitas, Aristeidis ; Fotiadis, Anestis ; Polyzos, Stathis. In: Working Papers. RePEc:era:wpaper:dp-2021-12.

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2022Forecasting economic activity using preselected predictors: the case of Cyprus. (2022). Pashourtidou, Nicoletta ; Anaxagorou, Christiana. In: Cyprus Economic Policy Review. RePEc:erc:cypepr:v:16:y:2022:i:1:p:11-36.

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2022Using stochastic hierarchical aggregation constraints to nowcast regional economic aggregates. (2022). Poon, Aubrey ; Mitchell, James ; McIntyre, Stuart ; Koop, Gary. In: Working Papers. RePEc:fip:fedcwq:93793.

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2022The Use of Singular Spectrum Analysis and K-Means Clustering-Based Bootstrap to Improve Multistep Ahead Load Forecasting. (2022). Rodrigues, Paulo Canas ; Yudhanto, Yudho ; Sulandari, Winita. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:16:p:5838-:d:885936.

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2022Bayesian Optimization and Hierarchical Forecasting of Non-Weather-Related Electric Power Outages. (2022). Sunter, Deborah A ; Owolabi, Olukunle O. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:6:p:1958-:d:766196.

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2021The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting. (2021). Spiliotis, Evangelos ; Petropoulos, Fotios. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:3:p:29-497:d:580455.

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2021Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests. (2021). Gunter, Ulrich. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:4:p:54-919:d:689837.

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2021Analyzing and Forecasting Tourism Demand in Vietnam with Artificial Neural Networks. (2021). Teixeira, Joo Paulo ; Fernandes, Paula Odete ; Nguyen, Le Quyen. In: Forecasting. RePEc:gam:jforec:v:4:y:2021:i:1:p:3-50:d:712898.

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2021Spillovers of the COVID-19 Pandemic: Impact on Global Economic Activity, the Stock Market, and the Energy Sector. (2021). Sarker, Tapan ; Mahi, Masnun ; Hasan, Md Bokhtiar ; Amin, Md Ruhul. In: JRFM. RePEc:gam:jjrfmx:v:14:y:2021:i:5:p:200-:d:547755.

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2023The Governance and Disclosure of IFRS 9 Economic Scenarios. (2023). Stander, Yolanda S. In: JRFM. RePEc:gam:jjrfmx:v:16:y:2023:i:1:p:47-:d:1033854.

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More than 100 citations found, this list is not complete...

Works by George Athanasopoulos:

YearTitleTypeCited
2010Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions In: Working Papers Series.
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2011Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions.(2011) In: Journal of Econometrics.
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This paper has another version. Agregated cites: 36		article
2009Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions.(2009) In: FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE).
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 36		paper
2010Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions.(2010) In: FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE).
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 36		paper
2010Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions.(2010) In: FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE).
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 36		paper
2011Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions.(2011) In: FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE).
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 36		paper
2009Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions.(2009) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 36		paper
2008VARMA versus VAR for Macroeconomic Forecasting In: Journal of Business & Economic Statistics.
[Full Text][Citation analysis]		article33
2006VARMA versus VAR for Macroeconomic Forecasting.(2006) In: Monash Econometrics and Business Statistics Working Papers.
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This paper has another version. Agregated cites: 33		paper
2003Statistical Inference and Changes in Income Inequality in Australia In: The Economic Record.
[Full Text][Citation analysis]		article24
2002Statistical Inference on Changes in Income Inequality in Australia.(2002) In: Monash Econometrics and Business Statistics Working Papers.
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This paper has another version. Agregated cites: 24		paper
2014Economic Inequality in Australia between 1983 and 2010: A Stochastic Dominance Analysis In: The Economic Record.
[Full Text][Citation analysis]		article1
2008A complete VARMA modelling methodology based on scalar components In: Journal of Time Series Analysis.
[Full Text][Citation analysis]		article15
2006A Complete VARMA Modelling Methodology Based on Scalar Components.(2006) In: Monash Econometrics and Business Statistics Working Papers.
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This paper has another version. Agregated cites: 15		paper
2016Canadian monetary policy analysis using a structural VARMA model In: Canadian Journal of Economics.
[Full Text][Citation analysis]		article9
2013Canadian Monetary Policy Analysis using a Structural VARMA Model.(2013) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 9		paper
2014Canadian monetary policy analysis using a structural VARMA model.(2014) In: Working Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 9		paper
2016Canadian monetary policy analysis using a structural VARMA model.(2016) In: Canadian Journal of Economics/Revue canadienne d'économique.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 9		article
2004Are VAR Models Good Enough? In: Econometric Society 2004 Australasian Meetings.
[Citation analysis]		paper0
2019Cross-temporal coherent forecasts for Australian tourism In: Annals of Tourism Research.
[Full Text][Citation analysis]		article16
2018Cross-temporal coherent forecasts for Australian tourism.(2018) In: Monash Econometrics and Business Statistics Working Papers.
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This paper has another version. Agregated cites: 16		paper
2011Optimal combination forecasts for hierarchical time series In: Computational Statistics & Data Analysis.
[Full Text][Citation analysis]		article87
2007Optimal combination forecasts for hierarchical time series.(2007) In: Monash Econometrics and Business Statistics Working Papers.
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This paper has another version. Agregated cites: 87		paper
2019Analysis of shock transmissions to a small open emerging economy using a SVARMA model In: Economic Modelling.
[Full Text][Citation analysis]		article2
2018Analysis of shock transmissions to a small open emerging economy using a SVARMA model.(2018) In: Working Papers.
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This paper has another version. Agregated cites: 2		paper
2017Forecasting with temporal hierarchies In: European Journal of Operational Research.
[Full Text][Citation analysis]		article45
2015Forecasting with Temporal Hierarchies.(2015) In: Monash Econometrics and Business Statistics Working Papers.
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This paper has another version. Agregated cites: 45		paper
2015Forecasting with Temporal Hierarchies.(2015) In: MPRA Paper.
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This paper has another version. Agregated cites: 45		paper
2021Elucidate structure in intermittent demand series In: European Journal of Operational Research.
[Full Text][Citation analysis]		article9
2019Elucidate Structure in Intermittent Demand Series.(2019) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 9		paper
2009Hierarchical forecasts for Australian domestic tourism In: International Journal of Forecasting.
[Full Text][Citation analysis]		article53
2007Hierarchical forecasts for Australian domestic tourism.(2007) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
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2011The tourism forecasting competition In: International Journal of Forecasting.
[Full Text][Citation analysis]		article80
2011The tourism forecasting competition.(2011) In: International Journal of Forecasting.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 80		article
2009The tourism forecasting competition.(2009) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 80		paper
2011The value of feedback in forecasting competitions In: International Journal of Forecasting.
[Full Text][Citation analysis]		article9
2011The value of feedback in forecasting competitions.(2011) In: International Journal of Forecasting.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 9		article
2011The value of feedback in forecasting competitions.(2011) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 9		paper
2011Forecasting tourist arrivals using time-varying parameter structural time series models In: International Journal of Forecasting.
[Full Text][Citation analysis]		article41
2011Forecasting tourist arrivals using time-varying parameter structural time series models.(2011) In: International Journal of Forecasting.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 41		article
2011Beyond point forecasting: Evaluation of alternative prediction intervals for tourist arrivals In: International Journal of Forecasting.
[Full Text][Citation analysis]		article15
2011Beyond point forecasting: Evaluation of alternative prediction intervals for tourist arrivals.(2011) In: International Journal of Forecasting.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 15		article
2009Beyond point forecasting: evaluation of alternative prediction intervals for tourist arrivals.(2009) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 15		paper
2018Crude oil price forecasting based on internet concern using an extreme learning machine In: International Journal of Forecasting.
[Full Text][Citation analysis]		article32
2019Macroeconomic forecasting for Australia using a large number of predictors In: International Journal of Forecasting.
[Full Text][Citation analysis]		article11
2017Macroeconomic forecasting for Australia using a large number of predictors.(2017) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 11		paper
2020FFORMA: Feature-based forecast model averaging In: International Journal of Forecasting.
[Full Text][Citation analysis]		article38
2018FFORMA: Feature-based forecast model averaging.(2018) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 38		paper
2021Forecast reconciliation: A geometric view with new insights on bias correction In: International Journal of Forecasting.
[Full Text][Citation analysis]		article22
2019Forecast Reconciliation: A geometric View with New Insights on Bias Correction.(2019) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 22		paper
2020Forecast Reconciliation: A geometric View with New Insights on Bias Correction.(2020) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 22		paper
2011Modelling Australian domestic and international inbound travel: a spatial–temporal approach In: Tourism Management.
[Full Text][Citation analysis]		article9
2009Modelling Australian Domestic and International Inbound Travel: a Spatial-Temporal Approach.(2009) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 9		paper
2014Modelling substitution between domestic and outbound tourism in Australia: A system-of-equations approach In: Tourism Management.
[Full Text][Citation analysis]		article5
2006Nonlinear autoregressive leading indicator models of output in G-7 countries In: CAMA Working Papers.
[Full Text][Citation analysis]		paper14
2007Nonlinear autoregressive leading indicator models of output in G-7 countries.(2007) In: Journal of Applied Econometrics.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 14		article
2002Nonlinear Autoregresssive Leading Indicator Models of Output in G-7 Countries.(2002) In: Monash Econometrics and Business Statistics Working Papers.
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This paper has another version. Agregated cites: 14		paper
2017The Australian Macro Database: An online resource for macroeconomic research in Australia In: CAMA Working Papers.
[Full Text][Citation analysis]		paper0
2017The Australian Macro Database: An online resource for macroeconomic research in Australia.(2017) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 0		paper
2005Forecasting accuracy and estimation uncertainty using VAR models with short- and long-term economic restrictions: a Monte-Carlo study In: FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE).
[Full Text][Citation analysis]		paper10
2006Forecasting Accuracy and Estimation Uncertainty using VAR Models with Short- and Long-Term Economic Restrictions: A Monte-Carlo Study.(2006) In: IBMEC RJ Economics Discussion Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 10		paper
2005Forecasting Accuracy and Estimation Uncertainty Using VAR Models with Short- and Long-Term Economic Restrictions: A Monte-Carlo Study.(2005) In: Monash Econometrics and Business Statistics Working Papers.
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This paper has another version. Agregated cites: 10		paper
2014Optimally Reconciling Forecasts in a Hierarchy In: Foresight: The International Journal of Applied Forecasting.
[Full Text][Citation analysis]		article7
2001Capturing the Shape of Business Cycles with Nonlinear Autoregressive Leading Indicator Models. In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper2
2006Modelling and forecasting Australian domestic tourism In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper7
2009Two canonical VARMA forms: Scalar component models vis-à-vis the Echelon form In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper7
2012Two Canonical VARMA Forms: Scalar Component Models Vis-à-Vis the Echelon Form.(2012) In: Econometric Reviews.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 7		article
2010Multivariate exponential smoothing for forecasting tourist arrivals to Australia and New Zealand In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper8
2009VARMA models for Malaysian Monetary Policy Analysis In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper1
2013Domestic and outbound tourism demand in Australia: a System-of-Equations Approach In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper0
2014Determination of long-run and short-run dynamics in EC-VARMA models via canonical correlations In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper2
2016Determination of Long?run and Short?run Dynamics in EC?VARMA Models via Canonical Correlations.(2016) In: Journal of Applied Econometrics.
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This paper has another version. Agregated cites: 2		article
2015Forecasting hierarchical and grouped time series through trace minimization In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper2
2016Bayesian Rank Selection in Multivariate Regression In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper0
2017Optimal forecast reconciliation for hierarchical and grouped time series through trace minimization In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper34
2019Optimal Forecast Reconciliation for Hierarchical and Grouped Time Series Through Trace Minimization.(2019) In: Journal of the American Statistical Association.
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This paper has another version. Agregated cites: 34		article
2017Bayesian Inference for a 1-Factor Copula Model In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper3
2018Probabilisitic forecasts in hierarchical time series In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper7
2018Meta-learning how to forecast time series In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper10
2019Hierarchical Forecasting In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper3
2020On the Evaluation of Hierarchical Forecasts In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper5
2020Probabilistic Forecast Reconciliation: Properties, Evaluation and Score Optimisation In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper6
2012Structural VAR models for Malaysian monetary policy analysis during the pre- and post-1997 Asian crisis periods In: Applied Economics.
[Full Text][Citation analysis]		article18

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