Bayesian quantile semiparametric mixed-effects double regression models-Reference-Cited by-同舟云学术

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Bayesian quantile semiparametric mixed-effects double regression models

Published:2021-02-05 Issue:4 Volume:5 Page:303-315
ISSN:2475-4269
Container-title:Statistical Theory and Related Fields
language:en
Short-container-title:Statistical Theory and Related Fields

Author:

Zhang Duo¹^ORCID,Wu Liucang²,Ye Keying³^ORCID,Wang Min³^ORCID

Affiliation:

1. Department of Mathematical Sciences, Michigan Technological University, Houghton, MI, USA

2. Faculty of Science, Kunming University of Science and Technology, Kunming, People's Republic of China

3. Department of Management Science and Statistics, The University of Texas at San Antonio, San Antonio, TX, USA

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/24754269.2021.1877961

Reference38 articles.

1. Modelling Variance Heterogeneity in Normal Regression Using GLIM

2. Bayesian quantile regression for ordinal longitudinal data

3. Bayesian analysis of semiparametric reproductive dispersion mixed-effects models

4. Bayesian Hierarchical Modelling on Dual Response Surfaces in Partially Replicated Designs

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1. A Semiparametric Bayesian Approach to Heterogeneous Spatial Autoregressive Models;Entropy;2024-06-07

2. A hybrid algorithm to bypass some weak features in the particle swarm and firefly algorithms...with an application to the traveling salesman problem;Tikrit Journal of Administrative and Economic Sciences;2023-02-24

3. Variable Selection of Heterogeneous Spatial Autoregressive Models via Double-Penalized Likelihood;Symmetry;2022-06-10

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