Articles

Acquisition of Multiple Prior Distributions in Tactile Temporal Order Judgment

in Perception Science

• Yasuhito Nagai
• Mayu Suzuki
• Makoto Miyazaki
• Shigeru Kitazawa

Mixture prior distributions and Bayesian models for robust radionuclide image processing

in Physics and Data Analysis

• Muyang Zhang
• Robert G. Aykroyd
• Charalampos Tsoumpas

Dangers of the Defaults: A Tutorial on the Impact of Default Priors When Using Bayesian SEM With Small Samples

in Quantitative Psychology and Measurement

• Sanne C. Smid
• Sonja D. Winter

Systematic Parameter Reviews in Cognitive Modeling: Towards a Robust and Cumulative Characterization of Psychological Processes in the Diffusion Decision Model

in Quantitative Psychology and Measurement

• N.-Han Tran
• Leendert van Maanen
• Andrew Heathcote
• Dora Matzke

Gibbs-Slice Sampling Algorithm for Estimating the Four-Parameter Logistic Model

in Quantitative Psychology and Measurement

• Jiwei Zhang
• Jing Lu
• Hang Du
• Zhaoyuan Zhang

Approximate Measurement Invariance of Willingness to Sacrifice for the Environment Across 30 Countries: The Importance of Prior Distributions and Their Visualization

in Quantitative Psychology and Measurement

• Ingrid Arts
• Qixiang Fang
• Rens van de Schoot
• Katharina Meitinger

FMixFN: A Fast Big Data-Oriented Genomic Selection Model Based on an Iterative Conditional Expectation algorithm

in Livestock Genomics

• Wenwu Xu
• Xiaodong Liu
• Mingfu Liao
• Shijun Xiao
• Min Zheng
• Tianxiong Yao
• Zuoquan Chen
• Lusheng Huang
• Zhiyan Zhang

The Importance of Prior Sensitivity Analysis in Bayesian Statistics: Demonstrations Using an Interactive Shiny App

in Quantitative Psychology and Measurement

• Sarah Depaoli
• Sonja D. Winter
• Marieke Visser

A Similarity-Weighted Informative Prior Distribution for Bayesian Multiple Regression Models

in Quantitative Psychology and Measurement

• Christoph König

Gravity and Known Size Calibrate Visual Information to Time Parabolic Trajectories

in Sensory Neuroscience

• Borja Aguado
• Joan López-Moliner

Coming Together of Bayesian Inference and Skew Spherical Data

in Data Science

• Najmeh Nakhaei Rad
• Andriette Bekker
• Mohammad Arashi
• Christophe Ley

Prior Specification for More Stable Bayesian Estimation of Multilevel Latent Variable Models in Small Samples: A Comparative Investigation of Two Different Approaches

in Quantitative Psychology and Measurement

• Steffen Zitzmann
• Christoph Helm
• Martin Hecht

The application of global sensitivity analysis in the development of a physiologically based pharmacokinetic model for m-xylene and ethanol co-exposure in humans

in Predictive Toxicology

• George D. Loizou
• Kevin McNally
• Kate Jones
• John Cocker

Hierarchical vector auto-regressive models and their applications to multi-subject effective connectivity

• Cristina Gorrostieta
• Mark Fiecas
• Hernando Ombao
• Erin Burke
• Steven Cramer

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

What We Talk About When We Talk About Uncertainty. Toward a Unified, Data-Driven Framework for Uncertainty Characterization in Hydrogeology

in Hydrosphere

• Falk Heße
• Alessandro Comunian
• Sabine Attinger