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A robust functional partial least squares for scalar‐on‐multiple‐function regression

Journal of chemometrics, 2022-04, Vol.36 (4), p.n/a

2022

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Not all long‐memory estimators are born equal: The case of nonstationary functional time series

Canadian journal of statistics, 2022-03, Vol.50 (1), p.357-380

Lin Shang, Han

2022

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Synergy in fertility forecasting: improving forecast accuracy through model averaging

Genus, 2020-09, Vol.76 (1), p.1-23, Article 27

2020

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Bootstrap Prediction Bands for Functional Time Series

Journal of the American Statistical Association, 2023-04, Vol.118 (542), p.972-986

2023

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Long-Range Dependent Curve Time Series

Journal of the American Statistical Association, 2020-04, Vol.115 (530), p.957-971

2020

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Bootstrap methods for stationary functional time series

Statistics and computing, 2018-01, Vol.28 (1), p.1-10

Shang, Han Lin

2018

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Weighted compositional functional data analysis for modeling and forecasting life‐table death counts

Journal of forecasting, 2024-12, Vol.43 (8), p.3051-3071

2024

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Sieve bootstrapping the memory parameter in long-range dependent stationary functional time series

Advances in statistical analysis : AStA : a journal of the German Statistical Society, 2023-09, Vol.107 (3), p.421-441

Shang, Han Lin

2023

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Visualizing rate of change: an application to age-specific fertility rates

Journal of the Royal Statistical Society. Series A, Statistics in society, 2019-01, Vol.182 (1), p.249-262

Shang, Han Lin

2019

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Intraday forecasts of a volatility index: functional time series methods with dynamic updating

Annals of operations research, 2019-11, Vol.282 (1-2), p.331-354

2019

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Forecasting intraday financial time series with sieve bootstrapping and dynamic updating

Journal of forecasting, 2023-12, Vol.42 (8), p.1973-1988

2023

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Bayesian bandwidth estimation and semi-metric selection for a functional partial linear model with unknown error density

Journal of applied statistics, 2021-03, Vol.48 (4), p.583-604

Shang, Han Lin

2021

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Estimation of a functional single index model with dependent errors and unknown error density

Communications in statistics. Simulation and computation, 2020-12, Vol.49 (12), p.3111-3133

Shang, Han Lin

2020

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Stopping time detection of wood panel compression: A functional time‐series approach

Journal of the Royal Statistical Society Series C: Applied Statistics, 2022-11, Vol.71 (5), p.1205-1224

2022

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Bootstrapping Long-Run Covariance of Stationary Functional Time Series

Forecasting, 2024-03, Vol.6 (1), p.138-151

Shang, Han Lin

2024

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Selecting the derivative of a functional covariate in scalar-on-function regression

Statistics and computing, 2022-06, Vol.32 (3), Article 35

2022

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Robust bootstrap prediction intervals for univariate and multivariate autoregressive time series models

Journal of applied statistics, 2022-04, Vol.49 (5), p.1179-1202

2022

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On function-on-function regression: partial least squares approach

Environmental and ecological statistics, 2020-03, Vol.27 (1), p.95-114

2020

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DYNAMIC PRINCIPAL COMPONENT REGRESSION: APPLICATION TO AGE-SPECIFIC MORTALITY FORECASTING

ASTIN Bulletin : The Journal of the IAA, 2019-09, Vol.49 (3), p.619-645

Shang, Han Lin

2019

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Double bootstrapping for visualizing the distribution of descriptive statistics of functional data

Journal of statistical computation and simulation, 2021-07, Vol.91 (10), p.2116-2132

Shang, Han Lin

2021

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Forecasting intraday S&P 500 index returns: A functional time series approach

Journal of forecasting, 2017-11, Vol.36 (7), p.741-755

Shang, Han Lin

2017

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Grouped multivariate and functional time series forecasting:An application to annuity pricing

Insurance, mathematics & economics, 2017-07, Vol.75, p.166-179

2017

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Optimal combination forecasts for hierarchical time series

Computational statistics & data analysis, 2011-09, Vol.55 (9), p.2579-2589

2011

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Permutation entropy and its variants for measuring temporal dependence

Australian & New Zealand journal of statistics, 2022-12, Vol.64 (4), p.442-477

2022

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A partial least squares approach for function-on-function interaction regression

Computational statistics, 2021-06, Vol.36 (2), p.911-939

2021

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A robust functional partial least squares for scalar‐on‐multiple‐function regression

Not all long‐memory estimators are born equal: The case of nonstationary functional time series

Synergy in fertility forecasting: improving forecast accuracy through model averaging

Bootstrap Prediction Bands for Functional Time Series

Long-Range Dependent Curve Time Series

Bootstrap methods for stationary functional time series

Weighted compositional functional data analysis for modeling and forecasting life‐table death counts

Sieve bootstrapping the memory parameter in long-range dependent stationary functional time series

Visualizing rate of change: an application to age-specific fertility rates

Intraday forecasts of a volatility index: functional time series methods with dynamic updating

Forecasting intraday financial time series with sieve bootstrapping and dynamic updating

Bayesian bandwidth estimation and semi-metric selection for a functional partial linear model with unknown error density

Estimation of a functional single index model with dependent errors and unknown error density

Stopping time detection of wood panel compression: A functional time‐series approach

Bootstrapping Long-Run Covariance of Stationary Functional Time Series

Selecting the derivative of a functional covariate in scalar-on-function regression

Robust bootstrap prediction intervals for univariate and multivariate autoregressive time series models

On function-on-function regression: partial least squares approach

DYNAMIC PRINCIPAL COMPONENT REGRESSION: APPLICATION TO AGE-SPECIFIC MORTALITY FORECASTING

Double bootstrapping for visualizing the distribution of descriptive statistics of functional data

Forecasting intraday S&P 500 index returns: A functional time series approach

Grouped multivariate and functional time series forecasting:An application to annuity pricing

Optimal combination forecasts for hierarchical time series

Permutation entropy and its variants for measuring temporal dependence

A partial least squares approach for function-on-function interaction regression

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