A flexible approach to inference in semiparametric regression models with correlated errors using Gaussian processes-Reference-Cited by-同舟云学术

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A flexible approach to inference in semiparametric regression models with correlated errors using Gaussian processes

Published:2016-11 Issue: Volume:103 Page:316-329
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

He Heping,Severini Thomas A.

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

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

Reference50 articles.

1. A Review of Gaussian Random Fields and Correlation Functions;Abrahamsen,1997

2. Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables;Abramowitz,1964

3. Topics in Stochastic Processes;Ash,1975

4. Integrated likelihood functions for eliminating nuisance parameters (with discussion);Berger;Statist. Sci.,1998

5. A note on the Bayes factor in a semiparametric regression model;Choi;J. Multivariate Anal.,2009

Cited by 2 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. Frequentist Conditional Variance for Nonlinear Mixed-Effects Models;Journal of Statistical Theory and Practice;2022-11-08

2. On Some Characteristics of Gaussian Covariance Functions;International Statistical Review;2020-08-21

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