Hierarchical Bayesian modeling toolkit for interoceptive psychophysics (HRDT & RRST). Includes Stan models, power analysis tools, and educational resources for researchers.
A repository for the R code and data used in Iwasaki et al. (2023)
Inflation forecasting during crisis periods using Bayesian Dynamic Linear Models, traditional econometrics, and machine learning. Includes data, code, and comprehensive analysis report.
Bayesian and statistical modeling of regional energy load using public ISO data. Explores seasonal patterns, cross-sectional hierarchies, and probabilistic forecasting across hourly and daily resolution.
Scripts and processed data for modeling lowland tapir diel activity patterns using Bayesian circular mixed-effects models, including code, visualizations, and reproducible workflows.
An R package for modeling asymmetric spatial associations between cell types in tissue images using a multilevel Bayesian framework.
Probabilistic Graphical Models Project
Comprehensive analysis of differential gene expression using Bayesian statistics and advanced statistical modeling techniques. The project includes scripts, data, figures, and analysis results.
Stan implementation of Lee & Sarnecka (2010, 2011)'s knower-level model
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