Han Lin Shang

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Rob J HyndmanProfessor of Statistics, Monash UniversityEmail verificata su monash.edu
Ufuk BeyaztasDepartment of Statistics, Marmara UniversityEmail verificata su marmara.edu.tr
Steven HabermanProfessor of Actuarial Science, Bayes Business School (formerly Cass), City, University of LondonEmail verificata su city.ac.uk
Yanrong YangAustralian National UniversityEmail verificata su anu.edu.au
Maxwell KingMonash UniversityEmail verificata su monash.edu
Yang YangUniversity of NewcastleEmail verificata su newcastle.edu.au
Roman AhmedStatisticianEmail verificata su ato.gov.au
George AthanasopoulosMonash UniversityEmail verificata su monash.edu
Piotr KokoszkaProfessor of Statistics, Colorado State UniversityEmail verificata su colostate.edu
Heather BoothAustralian National UniversityEmail verificata su anu.edu.au
Arkadiusz WiśniowskiUniversity of ManchesterEmail verificata su manchester.ac.uk
Jakub BijakProfessor of Statistical Demography, University of SouthamptonEmail verificata su soton.ac.uk
Fearghal KearneyQueen's Business School, Queen's University BelfastEmail verificata su fkearney.ie
Gregory RiceUniversity of WaterlooEmail verificata su uwaterloo.ca
Peter W. F. SmithProfessor of Social Statistics, University of SouthamptonEmail verificata su soton.ac.uk
Xibin ZhangMonash UniversityEmail verificata su monash.edu
R Todd OgdenProfessor of Biostatistics, Columbia UniversityEmail verificata su columbia.edu
Jeff GoldsmithAssociate Professor, Department of Biostatistics, Columbia UniversityEmail verificata su columbia.edu
Philip ReissProfessor of Statistics, University of HaifaEmail verificata su stat.haifa.ac.il
Efstathios PaparoditisUniversity of CyprusEmail verificata su ucy.ac.cy

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Han Lin Shang

Department of Actuarial Studies and Business Analytics, Macquarie University

Email verificata su mq.edu.au - Home page

Functional data analysis nonparametric smoothing nonparametric statistics machine learning Bayesian bandwidth selection


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Forecasting: theory and practice F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ... International Journal of Forecasting 38 (3), 705-871, 2022	897	2022
Optimal combination forecasts for hierarchical time series RJ Hyndman, RA Ahmed, G Athanasopoulos, HL Shang Computational statistics & data analysis 55 (9), 2579-2589, 2011	650	2011
Rainbow plots, bagplots, and boxplots for functional data RJ Hyndman, HL Shang Journal of Computational and Graphical Statistics 19 (1), 29-45, 2010	398	2010
A survey of functional principal component analysis HL Shang AStA Advances in Statistical Analysis 98, 121-142, 2014	301	2014
Forecasting functional time series RJ Hyndman, HL Shang Journal of the Korean Statistical Society 38 (3), 199-211, 2009	259	2009
Methods for scalar‐on‐function regression PT Reiss, J Goldsmith, HL Shang, RT Ogden International Statistical Review 85 (2), 228-249, 2017	234	2017
Point and interval forecasts of mortality rates and life expectancy: A comparison of ten principal component methods HL Shang, H Booth, RJ Hyndman Demographic Research 25, 173-214, 2011	153	2011
Long-range dependent curve time series D Li, PM Robinson, HL Shang Journal of the American Statistical Association 115 (530), 957-971, 2020	111	2020
Grouped functional time series forecasting: An application to age-specific mortality rates HL Shang, RJ Hyndman Journal of Computational and Graphical Statistics 26 (2), 330-343, 2017	109	2017
High-dimensional functional time series forecasting: An application to age-specific mortality rates Y Gao, HL Shang, Y Yang Journal of Multivariate Analysis 170, 232-243, 2019	86	2019
A plug‐in bandwidth selection procedure for long‐run covariance estimation with stationary functional time series G Rice, HL Shang Journal of time series Analysis 38 (4), 591-609, 2017	78	2017
Functional time series approach for forecasting very short-term electricity demand HL Shang Journal of Applied Statistics 40 (1), 152-168, 2013	72	2013
Nonparametric time series forecasting with dynamic updating HL Shang, RJ Hyndman Mathematics and Computers in Simulation 81 (7), 1310-1324, 2011	71	2011
Inference for the autocovariance of a functional time series under conditional heteroscedasticity P Kokoszka, G Rice, HL Shang Journal of Multivariate Analysis 162, 32-50, 2017	63	2017
Mortality and life expectancy forecasting for a group of populations in developed countries: a multilevel functional data method HL Shang	62	2016
Point and interval forecasts of age-specific life expectancies: A model averaging approach HL Shang Demographic Research 27, 593-644, 2012	56	2012
rainbow: Rainbow plots, bagplots and boxplots for functional data HL Shang, RJ Hyndman R package version 2, 2011	53	2011
Bootstrap methods for stationary functional time series HL Shang Statistics and Computing 28 (1), 1-10, 2018	52	2018
Forecasting of density functions with an application to cross-sectional and intraday returns P Kokoszka, H Miao, A Petersen, HL Shang International Journal of Forecasting 35 (4), 1304-1317, 2019	51	2019
Forecasting intraday S&P 500 index returns: A functional time series approach HL Shang Journal of forecasting 36 (7), 741-755, 2017	47	2017

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