Materials from the graduate course on Generalized Linear Models at SFU in Spring 2020

My research at NASA-JPL as a Student Intern presents a unique climate change simulation toolbox that merges multiple climate models and observations using Pseudo-Bayesian Model Averaging (BMA) and other techniques. It allows researchers to select optimal model weights for accurate forecasts and flexibility in addressing various climatic inquiries.

Example for BEAST v2.5 paper

A Bayesian network structure learning routine for collecting all networks within a factor of optimal

This is a group project on predicting painting prices that were sold from 1764 to 1780. Based on our analysis, we identify undervalued/overvalued paintings in the dataset.