Han Lin Shang

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Rob J HyndmanProfessor of Statistics, Monash UniversityVerified email at monash.edu
Maxwell KingMonash UniversityVerified email at monash.edu
Ufuk BeyaztasDepartment of Statistics, Marmara UniversityVerified email at marmara.edu.tr
Steven HabermanProfessor of Actuarial Science, Bayes Business School (formerly Cass), City, University of LondonVerified email at city.ac.uk
Yanrong YangAustralian National UniversityVerified email at anu.edu.au
Roman AhmedData Scientist, ATOVerified email at ato.gov.au
George AthanasopoulosMonash UniversityVerified email at monash.edu
Arkadiusz WiśniowskiUniversity of ManchesterVerified email at manchester.ac.uk
Jakub BijakProfessor of Statistical Demography, University of SouthamptonVerified email at soton.ac.uk
Piotr KokoszkaProfessor of Statistics, Colorado State UniversityVerified email at colostate.edu
Heather BoothAustralian National UniversityVerified email at anu.edu.au
Gregory RiceUniversity of WaterlooVerified email at uwaterloo.ca
Yang YangMonash UniversityVerified email at monash.edu
Xibin ZhangMonash UniversityVerified email at monash.edu
Peter W. F. SmithProfessor of Social Statistics, University of SouthamptonVerified email at soton.ac.uk
Fearghal KearneyQueen's Management SchoolVerified email at fkearney.ie
R Todd OgdenProfessor of Biostatistics, Columbia UniversityVerified email at columbia.edu
Jeff GoldsmithAssociate Professor, Department of Biostatistics, Columbia UniversityVerified email at columbia.edu
Philip ReissProfessor of Statistics, University of HaifaVerified email at stat.haifa.ac.il
Hong MiaoDepartment of Finance and Real Estate, Colorado State UniversityVerified email at colostate.edu

Han Lin Shang

Department of Actuarial Studies and Business Analytics, Macquarie University

Verified email at mq.edu.au - Homepage

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


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Optimal combination forecasts for hierarchical time series RJ Hyndman, RA Ahmed, G Athanasopoulos, HL Shang Computational statistics & data analysis 55 (9), 2579-2589, 2011	402	2011
Rainbow plots, bagplots, and boxplots for functional data RJ Hyndman, HL Shang Journal of Computational and Graphical Statistics 19 (1), 29-45, 2010	299	2010
Forecasting functional time series RJ Hyndman, HL Shang Journal of the Korean Statistical Society 38 (3), 199-211, 2009	182	2009
A survey of functional principal component analysis HL Shang AStA Advances in Statistical Analysis 98 (2), 121-142, 2014	172	2014
Methods for scalar‐on‐function regression PT Reiss, J Goldsmith, HL Shang, RT Ogden International Statistical Review 85 (2), 228-249, 2017	135	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	120	2011
Forecasting: theory and practice F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ... International Journal of Forecasting, 2022	75	2022
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	69	2017
Long-range dependent curve time series D Li, PM Robinson, HL Shang Journal of the American Statistical Association 115 (530), 957-971, 2020	58	2020
Functional time series approach for forecasting very short-term electricity demand HL Shang Journal of Applied Statistics 40 (1), 152-168, 2013	53	2013
Nonparametric time series forecasting with dynamic updating HL Shang, RJ Hyndman Mathematics and Computers in Simulation 81 (7), 1310-1324, 2011	53	2011
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	48	2017
rainbow: Rainbow plots, bagplots and boxplots for functional data HL Shang, RJ Hyndman R package version 2, 2011	47	2011
Bootstrap methods for stationary functional time series HL Shang Statistics and Computing 28 (1), 1-10, 2018	42	2018
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	40	2019
Mortality and life expectancy forecasting for a group of populations in developed countries: a multilevel functional data method HL Shang The Annals of Applied Statistics 10 (3), 1639-1672, 2016	39	2016
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	36	2017
Point and interval forecasts of age-specific life expectancies: A model averaging approach HL Shang Demographic Research 27, 593-644, 2012	31	2012
Grouped multivariate and functional time series forecasting: An application to annuity pricing HL Shang, S Haberman Insurance: Mathematics and Economics 75, 166-179, 2017	30	2017
ftsa: Functional time series analysis R Hyndman, HL Shang R package version 3, 2012	30	2012

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