Feng Li : Citation Profile

Are you Feng Li?

Peking University

4

H index

1

i10 index

94

Citations

RESEARCH PRODUCTION:

17

Articles

9

Papers

1

Chapters

RESEARCH ACTIVITY:

   14 years (2009 - 2023). See details.
   Cites by year: 6
   Journals where Feng Li has often published
   Relations with other researchers
   Recent citing documents: 68.    Total self citations: 8 (7.84 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pli521
   Updated: 2024-11-08    RAS profile: 2024-06-30    
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Relations with other researchers

Works with:

Hyndman, Rob (3)

Castle, Jennifer (2)

Martinez, Andrew (2)

Thomakos, Dimitrios (2)

Paccagnini, Alessia (2)

Clements, Michael (2)

Guidolin, Massimo (2)

Hendry, David (2)

Grossi, Luigi (2)

Franses, Philip Hans (2)

Reade, J (2)

Fiszeder, Piotr (2)

Sermpinis, Georgios (2)

Rubaszek, Michał (2)

Shang, Han Lin (2)

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

Is cited by:

Hyndman, Rob (4)

Weron, Rafał (3)

Vasnev, Andrey (2)

Pedersen, Michael (2)

Wilms, Ines (2)

Janczura, Joanna (2)

Rubaszek, Michał (2)

Fiszeder, Piotr (2)

Marcjasz, Grzegorz (2)

Sznajderska, Anna (1)

Haug, Alfred (1)

Cites to:

Hyndman, Rob (60)

Athanasopoulos, George (24)

Nikolopoulos, Konstantinos (13)

Armstrong, J. (11)

Geweke, John (10)

Kohn, Robert (10)

Villani, Mattias (9)

Stock, James (8)

Wallis, Kenneth (8)

Mitchell, James (8)

Diebold, Francis (8)

Main data

Where Feng Li has published?

Journals with more than one article published# docs
International Journal of Forecasting7
European Journal of Operational Research2

Working Papers Series with more than one paper published# docs
Papers / arXiv.org4
Monash Econometrics and Business Statistics Working Papers / Monash University, Department of Econometrics and Business Statistics3
Working Paper Series / Sveriges Riksbank (Central Bank of Sweden)2

Recent works citing Feng Li (2024 and 2023)

YearTitle of citing document
2023Predicting Performances of Mutual Funds using Deep Learning and Ensemble Techniques. (2022). Tran, Hien ; Nguyen, Huy ; Pham, Nga ; Dao, Binh ; Chu, Nghia. In: Papers. RePEc:arx:papers:2209.09649.

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2023Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctions. (2023). Ziel, Florian ; Ghelasi, Paul. In: Papers. RePEc:arx:papers:2305.16255.

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2023Learning Probability Distributions of Day-Ahead Electricity Prices. (2023). Hanus, Lubos ; Barunik, Jozef. In: Papers. RePEc:arx:papers:2310.02867.

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2023Forecasting skill of a crowd-prediction platform: A comparison of exchange rate forecasts. (2023). Lehmann, Niklas Valentin. In: Papers. RePEc:arx:papers:2312.09081.

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2024Judgment in macroeconomic output growth predictions: Efficiency, accuracy and persistence. (2024). Pedersen, Michael. In: Papers. RePEc:arx:papers:2404.04105.

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2024Maximally Forward-Looking Core Inflation. (2024). Goebel, Maximilian ; Barrette, Christophe ; Klieber, Karin ; Coulombe, Philippe Goulet. In: Papers. RePEc:arx:papers:2404.05209.

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2023The Financialization of Coffee, Cocoa and Cotton Value Chains: The Role of Physical Actors. (2023). Gunter, Ulrich ; Troster, Bernhard. In: Development and Change. RePEc:bla:devchg:v:54:y:2023:i:6:p:1550-1574.

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2023Can grid-tied solar photovoltaics lead to residential heating electrification? A techno-economic case study in the midwestern U.S.. (2023). Pearce, Joshua M ; Sommerfeldt, Nelson. In: Applied Energy. RePEc:eee:appene:v:336:y:2023:i:c:s0306261923002027.

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2023Heat load forecasting using adaptive spatial hierarchies. (2023). Madsen, Henrik ; Moller, Jan Kloppenborg ; Sorensen, Mikkel Lindstrom ; Bergsteinsson, Hjorleifur G. In: Applied Energy. RePEc:eee:appene:v:350:y:2023:i:c:s0306261923010401.

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2023Residential energy consumption forecasting using deep learning models. (2023). Dias, Bruno H ; Silva, Walquiria N ; Villela, Saulo Moraes ; Vitor, Paulo. In: Applied Energy. RePEc:eee:appene:v:350:y:2023:i:c:s0306261923010693.

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2024Management of prosumers using dynamic export limits and shared Community Energy Storage. (2024). Razzaghi, Reza ; Khorasany, Mohsen ; Gerdroodbari, Yasin Zabihinia ; Heidari, Rahmat. In: Applied Energy. RePEc:eee:appene:v:355:y:2024:i:c:s0306261923015866.

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2023How many fundamentals should we include in the behavioral equilibrium exchange rate model?. (2023). Rubaszek, Michał ; Ca, Michele. In: Economic Modelling. RePEc:eee:ecmode:v:118:y:2023:i:c:s026499932200308x.

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2024Improving volatility forecasts: Evidence from range-based models. (2024). Fiszeder, Piotr ; Fadziski, Marcin ; Molnar, Peter. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:69:y:2024:i:pb:s1062940823001420.

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2024On the update frequency of univariate forecasting models. (2024). Petropoulos, Fotios ; Spiliotis, Evangelos. In: European Journal of Operational Research. RePEc:eee:ejores:v:314:y:2024:i:1:p:111-121.

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2024When is the next order? Nowcasting channel inventories with Point-of-Sales data to predict the timing of retail orders. (2024). Hoberg, Kai ; Schlaich, Tim. In: European Journal of Operational Research. RePEc:eee:ejores:v:315:y:2024:i:1:p:35-49.

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2024Combining probabilistic forecasts of intermittent demand. (2024). Petropoulos, Fotios ; Kang, Yanfei ; Wang, Shengjie. In: European Journal of Operational Research. RePEc:eee:ejores:v:315:y:2024:i:3:p:1038-1048.

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2023Modeling and forecasting dynamic conditional correlations with opening, high, low, and closing prices. (2023). Fiszeder, Piotr ; Molnar, Peter ; Fadziski, Marcin. In: Journal of Empirical Finance. RePEc:eee:empfin:v:70:y:2023:i:c:p:308-321.

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2023Distributional neural networks for electricity price forecasting. (2023). Weron, Rafał ; Ziel, Florian ; Narajewski, Micha ; Marcjasz, Grzegorz. In: Energy Economics. RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003419.

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2023Urban?rural disparities in household energy and electricity consumption under the influence of electricity price reform policies. (2024). Su, Bin ; Zhang, Guoxing ; Nie, Yan ; Zhong, Luhao. In: Energy Policy. RePEc:eee:enepol:v:184:y:2024:i:c:s0301421523004536.

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2023Digitalization in decarbonizing electricity systems – Phenomena, regional aspects, stakeholders, use cases, challenges and policy options. (2023). Verma, Piyush ; Covatariu, Andrei ; Milojevic, Tatjana ; Heymann, Fabian. In: Energy. RePEc:eee:energy:v:262:y:2023:i:pb:s0360544222024033.

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2023Differential attention net: Multi-directed differential attention based hybrid deep learning model for solar power forecasting. (2023). Jana, Kartick C ; Shrivastava, Ashish ; Rai, Amit. In: Energy. RePEc:eee:energy:v:263:y:2023:i:pc:s0360544222026329.

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2023Memory long and short term time series network for ultra-short-term photovoltaic power forecasting. (2023). Yang, Mengyuan ; Huang, Congzhi. In: Energy. RePEc:eee:energy:v:279:y:2023:i:c:s0360544223013555.

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2024Multi-sensor multi-mode fault diagnosis for lithium-ion battery packs with time series and discriminative features. (2024). Lyu, Chao ; Yang, Dazhi ; Shen, Dongxu ; Wang, Lixin ; Du, Limei ; Sun, Qingmin ; Hinds, Gareth ; Ma, Jingyan. In: Energy. RePEc:eee:energy:v:290:y:2024:i:c:s0360544223035454.

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2024Evaluation of primary-level credit environment, indicator system and empirical analysis: A case study of credit construction in China county and district. (2024). Tang, Zhuoyuan ; Parziale, Anna ; Chen, Xihui ; Gu, Zhouyi. In: Evaluation and Program Planning. RePEc:eee:epplan:v:104:y:2024:i:c:s0149718924000351.

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2023fETSmcs: Feature-based ETS model component selection. (2023). Jia, Suling ; Wang, Qiang ; Li, Xixi ; Qi, Lingzhi. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1303-1317.

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2023A machine learning-based framework for forecasting sales of new products with short life cycles using deep neural networks. (2023). Seifert, Ralf W ; Maier, Sebastian ; Elalem, Yara Kayyali. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1874-1894.

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2023On the uncertainty of a combined forecast: The critical role of correlation. (2023). Vasnev, Andrey ; Magnus, Jan R. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1895-1908.

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2024A market for trading forecasts: A wagering mechanism. (2024). Kazempour, Jalal ; Pinson, Pierre ; Raja, Aitazaz Ali ; Grammatico, Sergio. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:1:p:142-159.

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2024Demand forecasting for fashion products: A systematic review. (2024). Venkitasubramony, Rakesh ; Swaminathan, Kritika. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:1:p:247-267.

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2024Conflict forecasting using remote sensing data: An application to the Syrian civil war. (2024). Davidson, Brittany I ; Thurner, Paul W ; Racek, Daniel ; Kauermann, Goran ; Zhu, Xiao Xiang. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:1:p:373-391.

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2024Forecast reconciliation: A review. (2024). Panagiotelis, Anastasios ; Kourentzes, Nikolaos ; Hyndman, Rob J ; Athanasopoulos, George. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:2:p:430-456.

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2024Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctions. (2024). Ziel, Florian ; Ghelasi, Paul. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:2:p:581-596.

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2024Hierarchical transfer learning with applications to electricity load forecasting. (2024). Goude, Yannig ; Gaucher, Solenne ; Antoniadis, Anestis. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:2:p:641-660.

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2023Optimal competitive capacity strategies: Evidence from the container shipping market. (2023). de Koster, M. B. M, ; Zuidwijk, Rob ; Li, Xishu. In: Omega. RePEc:eee:jomega:v:115:y:2023:i:c:s0305048322001955.

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2024Flexible global forecast combinations. (2024). Vasnev, Andrey ; Qian, Yilin ; Thompson, Ryan. In: Omega. RePEc:eee:jomega:v:126:y:2024:i:c:s0305048324000409.

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2023The artificial intelligence-assisted short-term optimal scheduling of a cascade hydro-photovoltaic complementary system with hybrid time steps. (2023). Kurban, Aynur ; He, YI ; Zheng, Kun ; Guo, SU. In: Renewable Energy. RePEc:eee:renene:v:202:y:2023:i:c:p:1169-1189.

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2024A systematic review towards integrative energy management of smart grids and urban energy systems. (2024). Luo, Xiaowei ; Shafique, Muhammad ; Zheng, Zhuang ; Wang, Shengwei. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:189:y:2024:i:pb:s136403212300881x.

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2023Assessing the impact of big data analytics on decision-making processes, forecasting, and performance of a firm. (2023). Bag, Surajit ; Sivarajah, Uthayasankar ; Gupta, Shivam ; Chaudhuri, Ranjan ; Chatterjee, Sheshadri. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:196:y:2023:i:c:s0040162523005097.

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2024Investigating the diffusion of innovation: A comprehensive study of successive diffusion processes through analysis of search trends, patent records, and academic publications. (2024). Scornavacca, Eusebio ; Bastos, Julio Cesar ; Takahashi, Carlos Kazunari. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:198:y:2024:i:c:s0040162523006765.

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2023ARX-GARCH Probabilistic Price Forecasts for Diversification of Trade in Electricity Markets—Variance Stabilizing Transformation and Financial Risk-Minimizing Portfolio Allocation. (2023). Janczura, Joanna ; Pu, Andrzej. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:2:p:807-:d:1031193.

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2023Forecasting the Monash Microgrid for the IEEE-CIS Technical Challenge. (2023). Bean, Richard. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:3:p:1050-:d:1039403.

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2023Enhancing Smart Home Design with AI Models: A Case Study of Living Spaces Implementation Review. (2023). Almssad, Asaad ; Yitmen, Ibrahim ; Almusaed, Amjad. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:6:p:2636-:d:1094089.

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2023.

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2023Comprehensive Review on Waste Generation Modeling. (2023). Szasziova, Lenka ; Roseck, Martin ; Smejkalova, Veronika ; Omplak, Radovan ; Pavlas, Martin ; Hrabec, Duan ; Nevrl, Vlastimir. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:4:p:3278-:d:1064709.

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2023Explainable AI for Operational Research: A Defining Framework, Methods, Applications, and a Research Agenda. (2023). Lessmann, Stefan ; Kraus, Mathias ; Delen, Dursun ; Choi, Tsan-Ming ; Boute, Robert N ; Weber, Richard ; Baesens, Bart ; Verbeke, Wouter ; Slowiski, Roman ; Vairetti, Carla ; de Caigny, Arno ; Oskarsdottir, Maria ; Coussement, Kristof ; Martens, David ; de Bock, Koen W ; Maldonado, Sebastian. In: Post-Print. RePEc:hal:journl:hal-04219546.

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2023Arctic weather variability and connectivity. (2023). Kurths, Jurgen ; Bhatt, Uma S ; Fan, Jingfang ; Meng, Jun. In: Nature Communications. RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42351-x.

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2023Does demand forecasting matter to retailing?. (2023). Veiga, Claudimar Pereira ; Almeida, Wesley Marcos. In: Journal of Marketing Analytics. RePEc:pal:jmarka:v:11:y:2023:i:2:d:10.1057_s41270-022-00162-x.

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2023Predicting binary outcomes based on the pair-copula construction. (2023). Yang, Liu ; Lahiri, Kajal. In: Empirical Economics. RePEc:spr:empeco:v:64:y:2023:i:6:d:10.1007_s00181-023-02418-6.

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2023Bayesian VARs of the U.S. economy before and during the pandemic. (2023). Sznajderska, Anna ; Haug, Alfred A. In: Eurasian Economic Review. RePEc:spr:eurase:v:13:y:2023:i:2:d:10.1007_s40822-023-00229-9.

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2023Statistical actuarial estimation of the Capitation Payment Unit from copula functions and deep learning: historical comparability analysis for the Colombian health system, 2015–2021. (2023). Martinez, Boris ; Ramos, Jeferson ; Bejarano, Valeria ; Espinosa, Oscar. In: Health Economics Review. RePEc:spr:hecrev:v:13:y:2023:i:1:d:10.1186_s13561-022-00416-5.

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Works by Feng Li:

YearTitleTypeCited
2022Forecasting: theory and practice In: Papers.
[Full Text][Citation analysis]		paper56
2022Forecasting: theory and practice.(2022) In: International Journal of Forecasting.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 56		article
2022Bayesian forecast combination using time-varying features In: Papers.
[Full Text][Citation analysis]		paper2
2023Bayesian forecast combination using time-varying features.(2023) In: International Journal of Forecasting.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 2		article
2022Feature-based intermittent demand forecast combinations: bias, accuracy and inventory implications In: Papers.
[Full Text][Citation analysis]		paper1
2022Optimal reconciliation with immutable forecasts In: Papers.
[Full Text][Citation analysis]		paper3
2023Optimal reconciliation with immutable forecasts.(2023) In: European Journal of Operational Research.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 3		article
2013Efficient Bayesian Multivariate Surface Regression In: Scandinavian Journal of Statistics.
[Full Text][Citation analysis]		article1
2022Forecast with forecasts: Diversity matters In: European Journal of Operational Research.
[Full Text][Citation analysis]		article1
2018Improving forecasting performance using covariate-dependent copula models In: International Journal of Forecasting.
[Full Text][Citation analysis]		article2
2022FFORMPP: Feature-based forecast model performance prediction In: International Journal of Forecasting.
[Full Text][Citation analysis]		article1
2022Hierarchical forecasting with a top-down alignment of independent-level forecasts In: International Journal of Forecasting.
[Full Text][Citation analysis]		article6
2023Distributed ARIMA models for ultra-long time series In: International Journal of Forecasting.
[Full Text][Citation analysis]		article5
2020Distributed ARIMA Models for Ultra-long Time Series.(2020) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 5		paper
2023Forecast combinations: An over 50-year review In: International Journal of Forecasting.
[Full Text][Citation analysis]		article9
2021Déjà vu: A data-centric forecasting approach through time series cross-similarity In: Journal of Business Research.
[Full Text][Citation analysis]		article1
In: .
[Full Text][Citation analysis]		article0
2009Flexible Modeling of Conditional Distributions Using Smooth Mixtures of Asymmetric Student T Densities In: Working Paper Series.
[Full Text][Citation analysis]		paper0
2010Modeling Conditional Densities Using Finite Smooth Mixtures In: Working Paper Series.
[Full Text][Citation analysis]		paper3
2018Efficient generation of time series with diverse and controllable characteristics In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper1
2019Feature-based Forecast-Model Performance Prediction In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]		paper0
2023Forecasting Large Collections of Time Series: Feature-Based Methods In: Palgrave Advances in Economics of Innovation and Technology.
[Citation analysis]		chapter0
2019Changes in patterns of mortality rates and years of life lost due to firearms in the United States, 1999 to 2016: A joinpoint analysis In: PLOS ONE.
[Full Text][Citation analysis]		article0
2022A Note on Distributed Quantile Regression by Pilot Sampling and One-Step Updating In: Journal of Business & Economic Statistics.
[Full Text][Citation analysis]		article0
2019Credit risk clustering in a business group: Which matters more, systematic or idiosyncratic risk? In: Cogent Economics & Finance.
[Full Text][Citation analysis]		article1
2022The uncertainty estimation of feature-based forecast combinations In: Journal of the Operational Research Society.
[Full Text][Citation analysis]		article1
2023Feature-based intermittent demand forecast combinations: accuracy and inventory implications In: International Journal of Production Research.
[Full Text][Citation analysis]		article0

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