Weakly Informative Prior | List of Frontiers open access articles

Original Research

Published on 06 Feb 2017

Investigating a weakly informative prior for item scale hyperparameters in hierarchical 3PNO IRT models

in Quantitative Psychology and Measurement

Yanyan Sheng

Frontiers in Psychology

doi 10.3389/fpsyg.2017.00123

5,577 views
10 citations

Original Research

Published on 27 May 2016

Probabilistic Inference: Task Dependency and Individual Differences of Probability Weighting Revealed by Hierarchical Bayesian Modeling

in Quantitative Psychology and Measurement

Moritz Boos
Caroline Seer
Florian Lange
Bruno Kopp

Frontiers in Psychology

doi 10.3389/fpsyg.2016.00755

7,525 views
6 citations

Original Research

Published on 06 Aug 2020

Detecting Conditional Dependence Using Flexible Bayesian Latent Class Analysis

in Quantitative Psychology and Measurement

Jaehoon Lee
Kwanghee Jung
Jungkyu Park

Frontiers in Psychology

doi 10.3389/fpsyg.2020.01987

10,008 views
17 citations

Original Research

Published on 15 Dec 2021

Hierarchical Bayesian Small Area Estimation Using Weakly Informative Priors in Ecologically Homogeneous Areas of the Interior Western Forests

in Forest Management

Grayson W. White
Kelly S. McConville
Gretchen G. Moisen
Tracey S. Frescino

Frontiers in Forests and Global Change

doi 10.3389/ffgc.2021.752911

3,973 views
16 citations

Original Research

Published on 30 Jul 2024

Bayesian regression modeling and inference of energy efficiency data: the effect of collinearity and sensitivity analysis

in Energy Efficiency

Laila A. Al-Essa
Endris Assen Ebrahim
Yusuf Ali Mergiaw

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1416126

4,511 views
8 citations

Methods

Published on 07 Sep 2023

Improving the stability of bivariate correlations using informative Bayesian priors: a Monte Carlo simulation study

in Quantitative Psychology and Measurement

Carl Delfin

Frontiers in Psychology

doi 10.3389/fpsyg.2023.1253452

2,643 views
1 citation

Articles

Investigating a weakly informative prior for item scale hyperparameters in hierarchical 3PNO IRT models

Probabilistic Inference: Task Dependency and Individual Differences of Probability Weighting Revealed by Hierarchical Bayesian Modeling

Detecting Conditional Dependence Using Flexible Bayesian Latent Class Analysis

Hierarchical Bayesian Small Area Estimation Using Weakly Informative Priors in Ecologically Homogeneous Areas of the Interior Western Forests

Bayesian regression modeling and inference of energy efficiency data: the effect of collinearity and sensitivity analysis

Improving the stability of bivariate correlations using informative Bayesian priors: a Monte Carlo simulation study