Inflation forecasting during crisis periods using Bayesian Dynamic Linear Models, traditional econometrics, and machine learning. Includes data, code, and comprehensive analysis report.
Probabilistic Graphical Models Project
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.
Comprehensive analysis of differential gene expression using Bayesian statistics and advanced statistical modeling techniques. The project includes scripts, data, figures, and analysis results.
An R package for modeling asymmetric spatial associations between cell types in tissue images using a multilevel Bayesian framework.
A repository for the R code and data used in Iwasaki et al. (2023)
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