Han Lin Shang : Citation Profile


Are you Han Lin Shang?

Australian National University

5

H index

3

i10 index

132

Citations

RESEARCH PRODUCTION:

28

Articles

10

Papers

RESEARCH ACTIVITY:

   11 years (2008 - 2019). See details.
   Cites by year: 12
   Journals where Han Lin Shang has often published
   Relations with other researchers
   Recent citing documents: 31.    Total self citations: 18 (12 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/psh533
   Updated: 2019-04-20    RAS profile: 2019-03-31    
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Relations with other researchers


Works with:

King, Maxwell (2)

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 (18)

López Cabrera, Brenda (6)

Athanasopoulos, George (5)

Schulz, Franziska (4)

Silvestrini, Andrea (3)

Sbrana, Giacomo (3)

Capistrán, Carlos (2)

Medel, Carlos A. (2)

Nikolopoulos, Konstantinos (2)

Cobb, Marcus (2)

Ord, Keith (1)

Cites to:

Hyndman, Rob (73)

Zhang, Xibin (18)

King, Maxwell (16)

Yu, Jun (11)

Lee, Ronald (10)

Horvath, Lajos (7)

Li, Qi (6)

Athanasopoulos, George (6)

Racine, Jeffrey (6)

Blake, David (5)

Shephard, Neil (5)

Main data


Where Han Lin Shang has published?


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

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 (2019 and 2018)


YearTitle of citing document
2018Aggregated moving functional median in robust prediction of hierarchical functional time series - an application to forecasting web portal users behaviors. (2018). Kosiorowski, Daniel ; Rydlewski, Jerzy P ; Mielczarek, Dominik. In: Papers. RePEc:arx:papers:1710.02669.

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2018Seasonal adjustment subject to accounting constraints. (2018). McElroy, Tucker . In: Statistica Neerlandica. RePEc:bla:stanee:v:72:y:2018:i:4:p:574-589.

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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.

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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.

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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.

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2018The impact of special days in call arrivals forecasting: A neural network approach to modelling special days. (2018). Kourentzes, Nikolaos ; Barrow, Devon. In: European Journal of Operational Research. RePEc:eee:ejores:v:264:y:2018:i:3:p:967-977.

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2018A greedy aggregation–decomposition method for intermittent demand forecasting in fashion retailing. (2018). Li, Chongshou ; Lim, Andrew. In: European Journal of Operational Research. RePEc:eee:ejores:v:269:y:2018:i:3:p:860-869.

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2018A bottom-up methodology for long term electricity consumption forecasting of an industrial sector - Application to pulp and paper sector in Brazil. (2018). , Felipe ; Calili, Rodrigo F ; Lourenco, Plutarcho M ; Cyrino, Fernando L ; Souza, Reinaldo C. In: Energy. RePEc:eee:energy:v:144:y:2018:i:c:p:1107-1118.

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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.

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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.

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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.

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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.

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2018On dimension reduction models for functional data. (2018). Vieu, Philippe. In: Statistics & Probability Letters. RePEc:eee:stapro:v:136:y:2018:i:c:p:134-138.

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2018Optimal weighting schemes for longitudinal and functional data. (2018). Zhang, Xiaoke ; Wang, Jane-Ling. In: Statistics & Probability Letters. RePEc:eee:stapro:v:138:y:2018:i:c:p:165-170.

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2018On reconciling macro and micro energy transport forecasts for strategic decision making in the tanker industry. (2018). Abouarghoub, Wessam ; Petropoulos, Fotios ; Nomikos, Nikos K. In: Transportation Research Part E: Logistics and Transportation Review. RePEc:eee:transe:v:113:y:2018:i:c:p:225-238.

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2018Special Issue “Ageing Population Risks”. (2018). Shevchenko, Pavel V. In: Risks. RePEc:gam:jrisks:v:6:y:2018:i:1:p:16-:d:134739.

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2018An Empirical Study on Stochastic Mortality Modelling under the Age-Period-Cohort Framework: The Case of Greece with Applications to Insurance Pricing. (2018). Bozikas, Apostolos ; Pitselis, Georgios . In: Risks. RePEc:gam:jrisks:v:6:y:2018:i:2:p:44-:d:142754.

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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.

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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.

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2018Probabilisitic forecasts in hierarchical time series. (2018). Panagiotelis, Anastasios ; Hyndman, Rob ; Athanasopoulos, George ; Gamakumara, Puwasala. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2018-11.

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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.

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2018Big Data & Macroeconomic Nowcasting: Methodological Review. (2018). Kapetanios, George ; Papailias, Fotis. In: Economic Statistics Centre of Excellence (ESCoE) Discussion Papers. RePEc:nsr:escoed:escoe-dp-2018-12.

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2018Improving Underlying Scenarios for Aggregate Forecasts: A Multi-level Combination Approach. (2018). Cobb, Marcus. In: MPRA Paper. RePEc:pra:mprapa:88593.

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

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2018A Bayesian framework for large-scale geo-demand estimation in on-line retailing. (2018). Qin, Zhiwei ; Bewli, Jagtej ; Bowman, John. In: Annals of Operations Research. RePEc:spr:annopr:v:263:y:2018:i:1:d:10.1007_s10479-016-2383-1.

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2018Trends in the Quantiles of the Life Table Survivorship Function. (2018). Chuliá, Helena ; Guillen, Montserrat ; Uribe, Jorge M. In: European Journal of Population. RePEc:spr:eurpop:v:34:y:2018:i:5:d:10.1007_s10680-017-9460-2.

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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.

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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.

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2018Bootstrap in semi-functional partial linear regression under dependence. (2018). Aneiros, German ; Vilar, Juan ; Vieu, Philippe ; Raa, Paula. In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research. RePEc:spr:testjl:v:27:y:2018:i:3:d:10.1007_s11749-017-0566-y.

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Works by Han Lin Shang:


YearTitleTypeCited
2017Methods for Scalar-on-Function Regression In: International Statistical Review.
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article4
2019Visualizing rate of change: an application to age‐specific fertility rates In: Journal of the Royal Statistical Society Series A.
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article0
2017A Plug-in Bandwidth Selection Procedure for Long-Run Covariance Estimation with Stationary Functional Time Series In: Journal of Time Series Analysis.
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article0
2011Point and interval forecasts of mortality rates and life expectancy: A comparison of ten principal component methods In: Demographic Research.
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article19
2012Point and interval forecasts of age-specific life expectancies In: Demographic Research.
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article1
2011Optimal combination forecasts for hierarchical time series In: Computational Statistics & Data Analysis.
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article44
2013Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density In: Computational Statistics & Data Analysis.
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article2
2014A sampling algorithm for bandwidth estimation in a nonparametric regression model with a flexible error density In: Computational Statistics & Data Analysis.
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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.
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2017Functional time series forecasting with dynamic updating: An application to intraday particulate matter concentration In: Econometrics and Statistics.
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article2
2017Grouped multivariate and functional time series forecasting:An application to annuity pricing In: Insurance: Mathematics and Economics.
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article4
2016A multilevel functional data method for forecasting population, with an application to the United Kingdom In: International Journal of Forecasting.
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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.
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article1
2019High-dimensional functional time series forecasting: An application to age-specific mortality rates In: Journal of Multivariate Analysis.
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article1
2011Nonparametric time series forecasting with dynamic updating In: Mathematics and Computers in Simulation (MATCOM).
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article2
2009Nonparametric time series forecasting with dynamic updating.(2009) In: Monash Econometrics and Business Statistics Working Papers.
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2016Bayesian Bandwidth Selection for a Nonparametric Regression Model with Mixed Types of Regressors In: Econometrics.
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article2
2013Bayesian bandwidth selection for a nonparametric regession model with mixed types of regressors.(2013) In: Monash Econometrics and Business Statistics Working Papers.
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paper
2017Multivariate Functional Time Series Forecasting: Application to Age-Specific Mortality Rates In: Risks.
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article2
2017Reconciling Forecasts of Infant Mortality Rates at National and Sub-National Levels: Grouped Time-Series Methods In: Population Research and Policy Review.
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article0
2008Rainbow plots, Bagplots and Boxplots for Functional Data In: Monash Econometrics and Business Statistics Working Papers.
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paper18
2010Nonparametric modeling and forecasting electricity demand: an empirical study In: Monash Econometrics and Business Statistics Working Papers.
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paper0
2010A comparison of ten principal component methods for forecasting mortality rates In: Monash Econometrics and Business Statistics Working Papers.
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paper2
2011Bayesian estimation of bandwidths for a nonparametric regression model with a flexible error density In: Monash Econometrics and Business Statistics Working Papers.
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paper0
2011A survey of functional principal component analysis In: Monash Econometrics and Business Statistics Working Papers.
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paper8
2014A survey of functional principal component analysis.(2014) In: AStA Advances in Statistical Analysis.
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This paper has another version. Agregated cites: 8
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.
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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
2014Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density In: Computational Statistics.
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article4
2014Bayesian bandwidth estimation for a functional nonparametric regression model with mixed types of regressors and unknown error density In: Journal of Nonparametric Statistics.
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article5
2011Dynamic linear models with R In: Journal of Applied Statistics.
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article0
2011Bayesian Nonparametrics In: Journal of Applied Statistics.
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article0
2011Non-Parametric Econometrics In: Journal of Applied Statistics.
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article0
2012Graphics for statistics and data analysis with R In: Journal of Applied Statistics.
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article0
2013The BUGS book: a practical introduction to Bayesian analysis In: Journal of Applied Statistics.
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2013Functional time series approach for forecasting very short-term electricity demand In: Journal of Applied Statistics.
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article6
2015Statistically tested comparisons of the accuracy of forecasting methods for age-specific and sex-specific mortality and life expectancy In: Population Studies.
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article1
2017Forecasting intraday S&P 500 index returns: A functional time series approach In: Journal of Forecasting.
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