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A general robust t-process regression model

  • Published:2021-02 Issue: Volume:154 Page:107093
  • ISSN:0167-9473
  • Container-title:Computational Statistics & Data Analysis
  • language:en
  • Short-container-title:Computational Statistics & Data Analysis

Author:

Wang Zhanfeng,Noh Maengseok,Lee Youngjo,Shi Jian Qing

Funder

National Natural Science Foundation of China

Anhui Provincial Natural Science Foundation

Korea government

Science Original Technology Research Program for Brain Science of Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference25 articles.

1. Robust functional regression model for population-average and subject-specific inferences;Cao;Stat. Methods Med. Res.,2018

2. On posterior consistency in nonparametric regression problems;Choi;J. Multivariate Anal.,2007

3. Early response markers from video games for rehabilitation strategies;Davison;ACM SIGAPP Appl. Comput. Rev.,2014

4. Gaussian process single-index models as emulators for computer experiments;Gramacy;Technometrics,2012

5. Statistical Modelling of Survival Data with RandOm Effects: H-Likelihood Approach;Ha,2017
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