Criteria for Parameter Identification in Bayesian Lasso Methods for Covariance Analysis: Comparing Rules for Thresholding, p-value, and Credible Interval-Reference-Cited by-同舟云学术

Criteria for Parameter Identification in Bayesian Lasso Methods for Covariance Analysis: Comparing Rules for Thresholding, p-value, and Credible Interval

Published:2021-08-30 Issue:6 Volume:28 Page:941-950
ISSN:1070-5511
Container-title:Structural Equation Modeling: A Multidisciplinary Journal
language:en
Short-container-title:Structural Equation Modeling: A Multidisciplinary Journal

Author:

Zhang Lijin¹^ORCID,Pan Junhao¹^ORCID,Ip Edward Haksing²^ORCID

Affiliation:

1. Sun Yat-sen University

2. Wake Forest School of Medicine

Funder

National Natural Science Foundation of China

MOE (Ministry of Education) Project of Humanities and Social Science of China

NSF

NIH

Publisher

Informa UK Limited

Subject

General Economics, Econometrics and Finance,Sociology and Political Science,Modeling and Simulation,General Decision Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/10705511.2021.1945456

Reference51 articles.

1. An Adaptive Bayesian Lasso Approach with Spike-and-Slab Priors to Identify Multiple Linear and Nonlinear Effects in Structural Equation Models

2. Comparing estimators for latent interaction models under structural and distributional misspecifications.

3. Testing for the Factorial Validity, Replication, and Invariance of a Measuring Instrument: A Paradigmatic Application Based on the Maslach Burnout Inventory

4. Estimating Latent Variable Interactions With Nonnormal Observed Data: A Comparison of Four Approaches

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