Hierarchical Bayesian modeling toolkit for interoceptive psychophysics (HRDT & RRST). Includes Stan models, power analysis tools, and educational resources for researchers.
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.
Inflation forecasting during crisis periods using Bayesian Dynamic Linear Models, traditional econometrics, and machine learning. Includes data, code, and comprehensive analysis report.
A repository for the R code and data used in Iwasaki et al. (2023)
Bayesian media mix modeling (MMX) framework with latent state decomposition and SKAN bias corrections for historical & causal attribution
Comprehensive analysis of differential gene expression using Bayesian statistics and advanced statistical modeling techniques. The project includes scripts, data, figures, and analysis results.
Adaptive learning classifier using a Beta–Binomial model to estimate student proficiency
Probabilistic Graphical Models Project
An R package for modeling asymmetric spatial associations between cell types in tissue images using a multilevel Bayesian framework.
Stan implementation of Lee & Sarnecka (2010, 2011)'s knower-level model
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