Semiparametric model averaging prediction: a Bayesian approach-Reference-Cited by-同舟云学术

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Semiparametric model averaging prediction: a Bayesian approach

Published:2018-11-27 Issue:4 Volume:60 Page:407-422
ISSN:1369-1473
Container-title:Australian & New Zealand Journal of Statistics
language:en
Short-container-title:Aust. N. Z. J. Stat.

Author:

Wang Jingli¹^ORCID,Li Jialiang¹

Affiliation:

1. Department of Statistics and Applied Probability National University of Singapore 6 Science Drive 2 Singapore City 117546Singapore

Funder

Academic Research Funds

Tier 2 MOE Funds in Singapore

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/anzs.12249

Reference52 articles.

1. A Model-Averaging Approach for High-Dimensional Regression

2. A weight-relaxed model averaging approach for high-dimensional generalized linear models

3. LASSO-type estimators for semiparametric nonlinear mixed-effects models estimation

4. Discussion: Multivariate Adaptive Regression Splines

5. Adaptive Bayesian Regression Splines in Semiparametric Generalized Linear Models

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimation of conditional average treatment effect based on greedy model averaging method;SCIENTIA SINICA Mathematica;2024-09-01

2. Rank-Based Greedy Model Averaging for High-Dimensional Survival Data;Journal of the American Statistical Association;2022-07-07

3. Semiparametric model averaging prediction for dichotomous response;Journal of Econometrics;2020-12

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