fit latent variable movement models to animal tracking data

Material for a Bayesian statistics workshop

Popular Econometrics content with code; Simple Linear Regression, Multiple Linear Regression, OLS, Event Study including Time Series Analysis, Fixed Effects and Random Effects Regressions for Panel Data, Heckman_2_Step for selection bias, Hausman Wu test for Endogeneity in Python, R, and STATA.

This project aims to conduct a random survey design for collecting responses regarding wine preferences of Italian consumers. Furthermore, it attempts to understand how preference share gets affected as we vary different attributes associated with wine with the use of a research method called Conjoint Analysis..

QMSS MA Thesis - Intergenerational Childcare and Maternal Wages

Evaluating the suitability of spatial adjacency for small-area estimation

Meta-regression of diagnostic accuracy studies in Stata

Analysis on how drunk driving laws affect traffic deaths

Time Series, Panel Data, RShiny, Machine Learning & Deep Learning Assignments and projects using R

Meta-analysis of learning and memory in PTSD

As part of this project, we have used Regression Analysis on top of a panel data on Guns in USA to determine the "Effect of Shall-Carry Law on Violence Rate and Incarceration Rate in United States".

Do laws like Tax on Case of Beer ($), Mandatory Jail Sentence, Mandatory Community Service, Minimum Legal Drinking Age affect number of vehicle fatalities in the United States of America? Various hypothesis are tested and found some surprising results.

Stata and R programs to automatically quasi-demean regressors following FGLS-RE or MLE-RE regression

Meta-analysis of the rodent object-in-context task

Testing models from the GPBoost package against regular gradient boosting.

Applied Econometrics Project, Analysis conducted with R

Nonparametric Random Effect via Latent Class Variable

Cluster-specific logistic regression models for whether an NBA team will make the playoffs given the current statistics of that team. Specifically uses population averaged models (PA) based on generalized estimating equations (GEE); Also, uses cluster-specific (each team) random effects models

Complex comparative experiments (MAT 458)

simulation study into whether fixed/random effects account for unmeasured confounding