MUSA 5000 homeworks.

BAS R package for Bayesian Model Averaging and Variable Selection

Python package for Generalized Linear Models

Fast Best-Subset Selection Library

Built from a JupyterLab notebook → refactored into a reusable API → deployed with an interactive dashboard.

Regression Models for Epidemiology

Bayesian pliable lasso for sparse interaction effects and missing data in GLMs

Poisson pseudo-likelihood regression with multiple levels of fixed effects

Final project in Safety Management: analytics and predictive modeling for occupational incidents. Includes EDA, logistic regression, Poisson/Negative Binomial with overdispersion checks, ROC/AUC, and prediction exercises.

Date cleaning and preprocessing | Data wrangling | Data visualization | Summary statistics | Poisson Regression | Negative Binomial Regression| Zero Inflation | Report Writing | Real world data

Fast Change Point Detection in R

Statistical investigation of how sandwich components affect ant attraction, based on a full factorial design with ANOVA and Poisson regression.

Coursework, Stata code, and notes for PBHS 32700: Biostatistical Methods (Spring 2024, University of Chicago). Topics include contingency tables, logistic regression, Poisson and negative binomial models, and survival analysis using Kaplan-Meier, Cox, and parametric models. The course emphasizes categorical and time-to-event analysis using Stata.

Coursework and Stata code for PBHS 32410: Regression Analysis for Health and Social Research (Winter 2024, University of Chicago). Topics include linear regression, multiple regression, interaction effects, model diagnostics, Poisson and logistic regression, and the application of generalized linear models in public health data.

Coursework, Stata code, and notes for PBHS 31001: Epidemiologic Methods (Winter 2024, University of Chicago). Topics include bias, confounding, effect modification, cohort and case-control study design, and logistic/Poisson regression. The course emphasizes observational study design and practical applications using Stata.

Latent gaussian processes for zero inflated count data.

Extended Elo rating system implementation based on the equivalence with logistic regression.

a generalized linear models python library implementation from scratch

This repository contains implementations of advanced regression methods, including ordinary least squares, Poisson regression, and locally weighted regression. It also explores bias-variance decomposition for regularized mean estimators. The analysis is conducted on the Capital Bikesharing dataset using Python.