Bayesian Extended Redundancy Analysis: A Bayesian Approach to Component-based Regression with Dimension Reduction-Reference-Cited by-同舟云学术

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Bayesian Extended Redundancy Analysis: A Bayesian Approach to Component-based Regression with Dimension Reduction

Published:2019-04-25 Issue:1 Volume:55 Page:30-48
ISSN:0027-3171
Container-title:Multivariate Behavioral Research
language:en
Short-container-title:Multivariate Behavioral Research

Author:

Choi Ji Yeh¹,Kyung Minjung²,Hwang Heungsun³,Park Ju-Hyun⁴

Affiliation:

1. Department of Psychology, National University of Singapore, Singapore, Singapore;

2. Department of Statistics, Duksung Women’s University, Seoul, Korea;

3. Department of Psychology, McGill University, Montreal, Quebec, Canada;

4. Department of Statistics, Dongguk University, Seoul, Korea

Funder

National Research Foundation of Korea

Publisher

Informa UK Limited

Subject

Arts and Humanities (miscellaneous),Experimental and Cognitive Psychology,General Medicine,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00273171.2019.1598837

Reference53 articles.

1. Partial least squares regression and projection on latent structure regression (PLS Regression)

2. Bayesian Analysis of Binary and Polychotomous Response Data

3. Missing Data Techniques for Structural Equation Modeling.

4. Regression and Ordered Categorical Variables

5. An introduction to modern missing data analyses

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1. A Unified Neural Network Framework for Extended Redundancy Analysis;Psychometrika;2022-03-24

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3. The effects of transitional metal element doping on the Cs(I) adsorption of kaolinite (0 0 1): A density functional theory study;Applied Surface Science;2021-05

4. Model‐based recursive partitioning of extended redundancy analysis with an application to nicotine dependence among US adults;British Journal of Mathematical and Statistical Psychology;2021-03-30

5. Bayesian Approach to Multivariate Component-Based Logistic Regression: Analyzing Correlated Multivariate Ordinal Data;Multivariate Behavioral Research;2021-02-01

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