Han Lin Shang : Citation Profile


Are you Han Lin Shang?

Macquarie University

7

H index

3

i10 index

161

Citations

RESEARCH PRODUCTION:

35

Articles

11

Papers

RESEARCH ACTIVITY:

   12 years (2008 - 2020). See details.
   Cites by year: 13
   Journals where Han Lin Shang has often published
   Relations with other researchers
   Recent citing documents: 36.    Total self citations: 20 (11.05 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/psh533
   Updated: 2020-07-04    RAS profile: 2020-06-07    
   Missing citations? Add them    Incorrect content? Let us know

Relations with other researchers


Works with:

Kearney, Fearghal (3)

Authors registered in RePEc who have co-authored more than one work in the last five years with Han Lin Shang.

Is cited by:

Hyndman, Rob (21)

Athanasopoulos, George (11)

López Cabrera, Brenda (6)

Schulz, Franziska (4)

Lu, Yang (4)

Silvestrini, Andrea (3)

Sbrana, Giacomo (3)

Demirer, Riza (2)

Medel, Carlos A. (2)

Cobb, Marcus (2)

DAS, SONALI (2)

Cites to:

Hyndman, Rob (79)

Zhang, Xibin (18)

King, Maxwell (16)

Yu, Jun (11)

Lee, Ronald (10)

Van Keilegom, Ingrid (8)

Horvath, Lajos (8)

Racine, Jeffrey (6)

Li, Qi (6)

Vinod, Hrishikesh (6)

Guidolin, Massimo (6)

Main data


Where Han Lin Shang has published?


Journals with more than one article published# docs
Journal of Applied Statistics6
Computational Statistics & Data Analysis3
International Journal of Forecasting2
Demographic Research2
Journal of Multivariate Analysis2

Working Papers Series with more than one paper published# docs
Monash Econometrics and Business Statistics Working Papers / Monash University, Department of Econometrics and Business Statistics10

Recent works citing Han Lin Shang (2020 and 2019)


YearTitle of citing document
2019Cross-temporal coherent forecasts for Australian tourism. (2019). Athanasopoulos, George ; Kourentzes, Nikolaos. In: Annals of Tourism Research. RePEc:eee:anture:v:75:y:2019:i:c:p:393-409.

Full description at Econpapers || Download paper

2020Cross-temporal aggregation: Improving the forecast accuracy of hierarchical electricity consumption. (2020). Assimakopoulos, Vassilios ; Kourentzes, Nikolaos ; Petropoulos, Fotios ; Spiliotis, Evangelos. In: Applied Energy. RePEc:eee:appene:v:261:y:2020:i:c:s0306261919320264.

Full description at Econpapers || Download paper

2019Directional outlyingness for multivariate functional data. (2019). Dai, Wenlin ; Genton, Marc G. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:131:y:2019:i:c:p:50-65.

Full description at Econpapers || Download paper

2019Robust depth-based estimation of the functional autoregressive model. (2019). Martinez-Hernandez, Israel ; Gonzalez-Farias, Graciela ; Genton, Marc G. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:131:y:2019:i:c:p:66-79.

Full description at Econpapers || Download paper

2019Estimation, imputation and prediction for the functional linear model with scalar response with responses missing at random. (2019). Febrero-Bande, Manuel ; Gonzalez-Manteiga, Wenceslao ; Galeano, Pedro . In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:131:y:2019:i:c:p:91-103.

Full description at Econpapers || Download paper

2020A new approach to varying-coefficient additive models with longitudinal covariates. (2020). Wang, Jane-Ling ; Zhong, Qixian ; Zhang, Xiaoke. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:145:y:2020:i:c:s0167947320300037.

Full description at Econpapers || Download paper

2020A general white noise test based on kernel lag-window estimates of the spectral density operator. (2020). Rice, Gregory ; Characiejus, Vaidotas. In: Econometrics and Statistics. RePEc:eee:ecosta:v:13:y:2020:i:c:p:175-196.

Full description at Econpapers || Download paper

2019Probabilistic forecast reconciliation with applications to wind power and electric load. (2019). Jeon, Joo Young ; Petropoulos, Fotios ; Panagiotelis, Anastasios. In: European Journal of Operational Research. RePEc:eee:ejores:v:279:y:2019:i:2:p:364-379.

Full description at Econpapers || Download paper

2019A bottom-up bayesian extension for long term electricity consumption forecasting. (2019). Souza, Reinaldo C ; Cyrino, Fernando L. In: Energy. RePEc:eee:energy:v:167:y:2019:i:c:p:198-210.

Full description at Econpapers || Download paper

2019A forecast reconciliation approach to cause-of-death mortality modeling. (2019). Lu, Yang ; Li, Hong ; Panagiotelis, Anastasios. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:86:y:2019:i:c:p:122-133.

Full description at Econpapers || Download paper

2019How can a cause-of-death reduction be compensated for by the population heterogeneity? A dynamic approach. (2019). el Karoui, Nicole ; Arnold, Severine ; Hardy, Heloise Labit ; Kaakai, Sarah. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:89:y:2019:i:c:p:16-37.

Full description at Econpapers || Download paper

2020An age-at-death distribution approach to forecast cohort mortality. (2020). Camarda, Carlo Giovanni ; Kjargaard, Soren ; Basellini, Ugofilippo. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:91:y:2020:i:c:p:129-143.

Full description at Econpapers || Download paper

2019Reconciled boosted models for GEFCom2017 hierarchical probabilistic load forecasting. (2019). Roach, Cameron. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1439-1450.

Full description at Econpapers || Download paper

2019Volatility estimation in a nonlinear heteroscedastic functional regression model with martingale difference errors. (2019). Chaouch, Mohamed. In: Journal of Multivariate Analysis. RePEc:eee:jmvana:v:170:y:2019:i:c:p:129-148.

Full description at Econpapers || Download paper

2019Recent advances in functional data analysis and high-dimensional statistics. (2019). Vieu, Philippe ; Genest, Christian ; Fraiman, Ricardo ; Cao, Ricardo ; Aneiros, German. In: Journal of Multivariate Analysis. RePEc:eee:jmvana:v:170:y:2019:i:c:p:3-9.

Full description at Econpapers || Download paper

2019Robust functional regression based on principal components. (2019). van Aelst, Stefan ; Kalogridis, Ioannis. In: Journal of Multivariate Analysis. RePEc:eee:jmvana:v:173:y:2019:i:c:p:393-415.

Full description at Econpapers || Download paper

2019A bootstrap-based KPSS test for functional time series. (2019). Pun, Chi Seng ; Chen, Yichao. In: Journal of Multivariate Analysis. RePEc:eee:jmvana:v:174:y:2019:i:c:s0047259x18306146.

Full description at Econpapers || Download paper

2020Gaussian process metamodeling of functional-input code for coastal flood hazard assessment. (2020). Rohmer, Jrmy ; Pedreros, Rodrigo ; Idier, Dborah ; Klein, Thierry ; Bachoc, Franois ; Betancourt, Jos. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:198:y:2020:i:c:s0951832019301693.

Full description at Econpapers || Download paper

2019Robust functional regression for wind speed forecasting based on Sparse Bayesian learning. (2019). Wang, Yun ; Hu, Qinghua ; Srinivasan, Dipti. In: Renewable Energy. RePEc:eee:renene:v:132:y:2019:i:c:p:43-60.

Full description at Econpapers || Download paper

2020Medium, short and very short-term prognosis of load demand for the Greek Island of Tilos using artificial neural networks and human thermal comfort-discomfort biometeorological data. (2020). Moustris, K ; Kaldellis, J K ; Zafirakis, D ; Kavadias, K A. In: Renewable Energy. RePEc:eee:renene:v:147:y:2020:i:p1:p:100-109.

Full description at Econpapers || Download paper

2019The effect of global crises on stock market correlations: Evidence from scalar regressions via functional data analysis. (2019). GUPTA, RANGAN ; Demirer, Riza ; Mangisa, Siphumlile ; Das, Sonali. In: Structural Change and Economic Dynamics. RePEc:eee:streco:v:50:y:2019:i:c:p:132-147.

Full description at Econpapers || Download paper

2019Short-Term Electricity Demand Forecasting Using Components Estimation Technique. (2019). Wang, Depeng ; Ali, Sajid ; Iftikhar, Hasnain ; Shah, Ismail. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:13:p:2532-:d:244687.

Full description at Econpapers || Download paper

2019Credible Regression Approaches to Forecast Mortality for Populations with Limited Data. (2019). Pitselis, Georgios ; Bozikas, Apostolos. In: Risks. RePEc:gam:jrisks:v:7:y:2019:i:1:p:27-:d:209273.

Full description at Econpapers || Download paper

2020An age-at-death distribution approach to forecast cohort mortality. (2020). Camarda, Carlo Giovanni ; Kjargaard, Soren ; Basellini, Ugofilippo. In: Working Papers. RePEc:idg:wpaper:axafx5_3agsuwaphvlfk.

Full description at Econpapers || Download paper

2019Estimation of inefficiency in stochastic frontier models: a Bayesian kernel approach. (2019). Zhang, Xibin ; Wang, Chuan ; Feng, Guohua . In: Journal of Productivity Analysis. RePEc:kap:jproda:v:51:y:2019:i:1:d:10.1007_s11123-018-0542-x.

Full description at Econpapers || Download paper

2019Forecasting Swiss Exports Using Bayesian Forecast Reconciliation. (2019). Panagiotelis, Anastasios ; Hyndman, Rob J ; Eckert, Florian. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2019-14.

Full description at Econpapers || Download paper

2019Seasonal Functional Autoregressive Models. (2019). Hyndman, Rob J ; Hashemi, Maryam ; Haghbin, Hossein ; Zamani, Atefeh. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2019-16.

Full description at Econpapers || Download paper

2019Hierarchical Forecasting. (2019). Hyndman, Rob ; Affan, Mohamed ; Panagiotelis, Anastasios ; Gamakumara, Puwasala ; Athanasopoulos, George. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2019-2.

Full description at Econpapers || Download paper

2019Elucidate Structure in Intermittent Demand Series. (2019). Athanasopoulos, George ; Kourentzes, Nikolaos. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2019-27.

Full description at Econpapers || Download paper

2019Fast Forecast Reconciliation Using Linear Models. (2019). Shmueli, Galit ; Hyndman, Rob J ; Ashouri, Mahsa. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2019-29.

Full description at Econpapers || Download paper

2019Retail forecasting: research and practice. (2019). Fildes, Robert ; Kolassa, Stephan ; Ma, Shaohui. In: MPRA Paper. RePEc:pra:mprapa:89356.

Full description at Econpapers || Download paper

2019The Effect of Global Crises on Stock Market Correlations: Evidence from Scalar Regressions via Functional Data Analysis. (2019). GUPTA, RANGAN ; Demirer, Riza ; Mangisa, Siphumlile ; Das, Sonali. In: Working Papers. RePEc:pre:wpaper:201908.

Full description at Econpapers || Download paper

2019Under-5 Mortality Rates in G7 Countries: Analysis of Fractional Persistence, Structural Breaks and Nonlinear Time Trends. (2019). YAYA, OLAOLUWA ; Gil-Alana, Luis ; Amoateng, Acheampong Y. In: European Journal of Population. RePEc:spr:eurpop:v:35:y:2019:i:4:d:10.1007_s10680-018-9499-8.

Full description at Econpapers || Download paper

2019Semi-functional partially linear regression model with responses missing at random. (2019). Ling, Nengxiang ; Meng, Shuyu ; Vieu, Philippe ; Kan, Rui. In: Metrika: International Journal for Theoretical and Applied Statistics. RePEc:spr:metrik:v:82:y:2019:i:1:d:10.1007_s00184-018-0688-6.

Full description at Econpapers || Download paper

2019Tests for the linear hypothesis in semi-functional partial linear regression models. (2019). Zhao, Peixin ; Zhu, Shuzhi. In: Metrika: International Journal for Theoretical and Applied Statistics. RePEc:spr:metrik:v:82:y:2019:i:2:d:10.1007_s00184-018-0680-1.

Full description at Econpapers || Download paper

2020kNN estimation in functional partial linear modeling. (2020). Vieu, Philippe ; Aneiros, German ; Ling, Nengxiang. In: Statistical Papers. RePEc:spr:stpapr:v:61:y:2020:i:1:d:10.1007_s00362-017-0946-0.

Full description at Econpapers || Download paper

Works by Han Lin Shang:


YearTitleTypeCited
2019Implied volatility surface predictability: the case of commodity markets In: Papers.
[Full Text][Citation analysis]
paper0
2019Implied volatility surface predictability: The case of commodity markets.(2019) In: Journal of Banking & Finance.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 0
article
2020Uncovering predictability in the evolution of the WTI oil futures curve In: European Financial Management.
[Full Text][Citation analysis]
article0
2017Methods for Scalar-on-Function Regression In: International Statistical Review.
[Full Text][Citation analysis]
article7
2019Visualizing rate of change: an application to age‐specific fertility rates In: Journal of the Royal Statistical Society Series A.
[Full Text][Citation analysis]
article0
2017A Plug-in Bandwidth Selection Procedure for Long-Run Covariance Estimation with Stationary Functional Time Series In: Journal of Time Series Analysis.
[Full Text][Citation analysis]
article1
2020Forecasting age distribution of death counts: an application to annuity pricing In: Annals of Actuarial Science.
[Full Text][Citation analysis]
article0
2019DYNAMIC PRINCIPAL COMPONENT REGRESSION: APPLICATION TO AGE-SPECIFIC MORTALITY FORECASTING In: ASTIN Bulletin.
[Full Text][Citation analysis]
article0
2011Point and interval forecasts of mortality rates and life expectancy: A comparison of ten principal component methods In: Demographic Research.
[Full Text][Citation analysis]
article22
2012Point and interval forecasts of age-specific life expectancies In: Demographic Research.
[Full Text][Citation analysis]
article1
2011Optimal combination forecasts for hierarchical time series In: Computational Statistics & Data Analysis.
[Full Text][Citation analysis]
article53
2013Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density In: Computational Statistics & Data Analysis.
[Full Text][Citation analysis]
article2
2014A sampling algorithm for bandwidth estimation in a nonparametric regression model with a flexible error density In: Computational Statistics & Data Analysis.
[Full Text][Citation analysis]
article2
2013A sampling algorithm for bandwidth estimation in a nonparametric regression model with a flexible error density.(2013) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 2
paper
2017Functional time series forecasting with dynamic updating: An application to intraday particulate matter concentration In: Econometrics and Statistics.
[Full Text][Citation analysis]
article3
2017Grouped multivariate and functional time series forecasting:An application to annuity pricing In: Insurance: Mathematics and Economics.
[Full Text][Citation analysis]
article7
2016A multilevel functional data method for forecasting population, with an application to the United Kingdom In: International Journal of Forecasting.
[Full Text][Citation analysis]
article0
2019Forecasting of density functions with an application to cross-sectional and intraday returns In: International Journal of Forecasting.
[Full Text][Citation analysis]
article0
2016A Bayesian approach for determining the optimal semi-metric and bandwidth in scalar-on-function quantile regression with unknown error density and dependent functional data In: Journal of Multivariate Analysis.
[Full Text][Citation analysis]
article1
2019High-dimensional functional time series forecasting: An application to age-specific mortality rates In: Journal of Multivariate Analysis.
[Full Text][Citation analysis]
article1
2011Nonparametric time series forecasting with dynamic updating In: Mathematics and Computers in Simulation (MATCOM).
[Full Text][Citation analysis]
article2
2009Nonparametric time series forecasting with dynamic updating.(2009) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 2
paper
2016Bayesian Bandwidth Selection for a Nonparametric Regression Model with Mixed Types of Regressors In: Econometrics.
[Full Text][Citation analysis]
article2
2013Bayesian bandwidth selection for a nonparametric regession model with mixed types of regressors.(2013) In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 2
paper
2017Multivariate Functional Time Series Forecasting: Application to Age-Specific Mortality Rates In: Risks.
[Full Text][Citation analysis]
article4
2017Reconciling Forecasts of Infant Mortality Rates at National and Sub-National Levels: Grouped Time-Series Methods In: Population Research and Policy Review.
[Full Text][Citation analysis]
article1
2008Rainbow plots, Bagplots and Boxplots for Functional Data In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
paper18
2010Nonparametric modeling and forecasting electricity demand: an empirical study In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
paper0
2010A comparison of ten principal component methods for forecasting mortality rates In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
paper2
2011Bayesian estimation of bandwidths for a nonparametric regression model with a flexible error density In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
paper0
2011A survey of functional principal component analysis In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
paper9
2014A survey of functional principal component analysis.(2014) In: AStA Advances in Statistical Analysis.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 9
article
2012Point and interval forecasts of age-specific fertility rates: a comparison of functional principal component methods In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
paper0
2016Grouped functional time series forecasting: An application to age-specific mortality rates In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
paper2
2019Intraday forecasts of a volatility index: functional time series methods with dynamic updating In: Annals of Operations Research.
[Full Text][Citation analysis]
article0
2014Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density In: Computational Statistics.
[Full Text][Citation analysis]
article5
2014Bayesian bandwidth estimation for a functional nonparametric regression model with mixed types of regressors and unknown error density In: Journal of Nonparametric Statistics.
[Full Text][Citation analysis]
article5
2011Dynamic linear models with R In: Journal of Applied Statistics.
[Full Text][Citation analysis]
article0
2011Bayesian Nonparametrics In: Journal of Applied Statistics.
[Full Text][Citation analysis]
article0
2011Non-Parametric Econometrics In: Journal of Applied Statistics.
[Full Text][Citation analysis]
article0
2012Graphics for statistics and data analysis with R In: Journal of Applied Statistics.
[Full Text][Citation analysis]
article0
2013The BUGS book: a practical introduction to Bayesian analysis In: Journal of Applied Statistics.
[Full Text][Citation analysis]
article0
2013Functional time series approach for forecasting very short-term electricity demand In: Journal of Applied Statistics.
[Full Text][Citation analysis]
article9
2019Semiparametric Regression Using Variational Approximations In: Journal of the American Statistical Association.
[Full Text][Citation analysis]
article0
2015Statistically tested comparisons of the accuracy of forecasting methods for age-specific and sex-specific mortality and life expectancy In: Population Studies.
[Full Text][Citation analysis]
article1
2017Forecasting intraday S&P 500 index returns: A functional time series approach In: Journal of Forecasting.
[Full Text][Citation analysis]
article1

CitEc is a RePEc service, providing citation data for Economics since 2001. Sponsored by INOMICS. Last updated July, 2 2020. Contact: CitEc Team