Publication Date
| In 2025 | 0 |
| Since 2024 | 1 |
Descriptor
| Bayesian Statistics | 1 |
| Growth Models | 1 |
| Maximum Likelihood Statistics | 1 |
| Path Analysis | 1 |
| Prediction | 1 |
| Regression (Statistics) | 1 |
| Statistical Distributions | 1 |
| Statistical Inference | 1 |
| Structural Equation Models | 1 |
Author
| David Kaplan | 1 |
| Kjorte Harra | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkKjorte Harra; David Kaplan – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The present work focuses on the performance of two types of shrinkage priors--the horseshoe prior and the recently developed regularized horseshoe prior--in the context of inducing sparsity in path analysis and growth curve models. Prior research has shown that these horseshoe priors induce sparsity by at least as much as the "gold…
Descriptors: Structural Equation Models, Bayesian Statistics, Regression (Statistics), Statistical Inference
