Forecasting: theory and practice F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ... International Journal of Forecasting 38 (3), 705-871, 2022 | 614 | 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 | 589 | 2011 |
Rainbow plots, bagplots, and boxplots for functional data RJ Hyndman, HL Shang Journal of Computational and Graphical Statistics 19 (1), 29-45, 2010 | 365 | 2010 |
A survey of functional principal component analysis HL Shang AStA Advances in Statistical Analysis 98, 121-142, 2014 | 255 | 2014 |
Forecasting functional time series RJ Hyndman, HL Shang Journal of the Korean Statistical Society 38 (3), 199-211, 2009 | 240 | 2009 |
Methods for scalar‐on‐function regression PT Reiss, J Goldsmith, HL Shang, RT Ogden International Statistical Review 85 (2), 228-249, 2017 | 203 | 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 | 148 | 2011 |
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 | 100 | 2017 |
Long-range dependent curve time series D Li, PM Robinson, HL Shang Journal of the American Statistical Association, 2019 | 99 | 2019 |
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 | 79 | 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 | 70 | 2017 |
Functional time series approach for forecasting very short-term electricity demand HL Shang Journal of Applied Statistics 40 (1), 152-168, 2013 | 69 | 2013 |
Nonparametric time series forecasting with dynamic updating HL Shang, RJ Hyndman Mathematics and Computers in Simulation 81 (7), 1310-1324, 2011 | 69 | 2011 |
Mortality and life expectancy forecasting for a group of populations in developed countries: a multilevel functional data method HL Shang | 57 | 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 | 52 | 2017 |
rainbow: Rainbow plots, bagplots and boxplots for functional data HL Shang, RJ Hyndman R package version 2, 2011 | 51 | 2011 |
Point and interval forecasts of age-specific life expectancies: A model averaging approach HL Shang Demographic Research 27, 593-644, 2012 | 50 | 2012 |
Bootstrap methods for stationary functional time series HL Shang Statistics and Computing 28 (1), 1-10, 2018 | 48 | 2018 |
Bayesian bandwidth estimation for a functional nonparametric regression model with mixed types of regressors and unknown error density HL Shang Journal of Nonparametric Statistics 26 (3), 599-615, 2014 | 45 | 2014 |
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 | 44 | 2019 |