Han Lin Shang

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Rob J HyndmanProfessor of Statistics, Monash 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
Maxwell KingMonash UniversityVerified email at monash.edu
Yang YangUniversity of NewcastleVerified email at newcastle.edu.au
Roman AhmedStatisticianVerified email at ato.gov.au
George AthanasopoulosMonash UniversityVerified email at monash.edu
Piotr KokoszkaProfessor of Statistics, Colorado State UniversityVerified email at colostate.edu
Heather BoothAustralian National UniversityVerified email at anu.edu.au
Arkadiusz WiśniowskiUniversity of ManchesterVerified email at manchester.ac.uk
Jakub BijakProfessor of Statistical Demography, University of SouthamptonVerified email at soton.ac.uk
Fearghal KearneyQueen's Business School, Queen's University BelfastVerified email at fkearney.ie
Gregory RiceUniversity of WaterlooVerified email at uwaterloo.ca
Peter W. F. SmithProfessor of Social Statistics, University of SouthamptonVerified email at soton.ac.uk
Xibin ZhangMonash UniversityVerified email at monash.edu
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
Efstathios PaparoditisUniversity of CyprusVerified email at ucy.ac.cy

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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Forecasting: theory and practice F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ... International Journal of Forecasting 38 (3), 705-871, 2022	806	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	631	2011
Rainbow plots, bagplots, and boxplots for functional data RJ Hyndman, HL Shang Journal of Computational and Graphical Statistics 19 (1), 29-45, 2010	391	2010
A survey of functional principal component analysis HL Shang AStA Advances in Statistical Analysis 98, 121-142, 2014	288	2014
Forecasting functional time series RJ Hyndman, HL Shang Journal of the Korean Statistical Society 38 (3), 199-211, 2009	256	2009
Methods for scalar‐on‐function regression PT Reiss, J Goldsmith, HL Shang, RT Ogden International Statistical Review 85 (2), 228-249, 2017	230	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	152	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	108	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	76	2017
Functional time series approach for forecasting very short-term electricity demand HL Shang Journal of Applied Statistics 40 (1), 152-168, 2013	71	2013
Nonparametric time series forecasting with dynamic updating HL Shang, RJ Hyndman Mathematics and Computers in Simulation 81 (7), 1310-1324, 2011	71	2011
Mortality and life expectancy forecasting for a group of populations in developed countries: a multilevel functional data method HL Shang	61	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	60	2017
Point and interval forecasts of age-specific life expectancies: A model averaging approach HL Shang Demographic Research 27, 593-644, 2012	55	2012
Bootstrap methods for stationary functional time series HL Shang Statistics and Computing 28 (1), 1-10, 2018	52	2018
rainbow: Rainbow plots, bagplots and boxplots for functional data HL Shang, RJ Hyndman R package version 2, 2011	51	2011
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	50	2019
Forecasting intraday S&P 500 index returns: A functional time series approach HL Shang Journal of forecasting 36 (7), 741-755, 2017	46	2017

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