Skip to main navigation
Skip to search
Skip to main content
Utrecht University Home
Help & FAQ
Home
Research output
Search by expertise, name or affiliation
Bayesian Regularized SEM: Current Capabilities and Constraints
Sara van Erp
*
*
Corresponding author for this work
Methodology and statistics for the behavioural and social sciences
Leerstoel Hamaker
Research output
:
Contribution to journal
›
Article
›
Academic
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Bayesian Regularized SEM: Current Capabilities and Constraints'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Partial Least Squares Structural Equation Modeling (PLS-SEM)
100%
Current Capability
100%
Bayesian Regularization
100%
Current Constraint
100%
Penalization
28%
Shrinkage Prior
28%
Estimation Method
14%
Prior Distribution
14%
Software Implementation
14%
Shrinkage Behavior
14%
Shrinkage Methods
14%
Penalty Term
14%
Penalty Function
14%
Parsimony
14%
Engineering
Regularization
100%
Technical Detail
100%
Estimation Procedure
100%
Penalty Function
100%
Mathematics
Bayesian
100%
Structural Equation Modeling
100%
Regularization
14%
Wide Variety
14%
Software Source
14%
Statistical Modeling
14%
Psychology
Statistical Modeling
100%
Physics
Scanning Electron Microscopy
100%
Material Science
Scanning Electron Microscopy
100%