Model averaging toolbox in MATLAB and Python
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
Materials from the graduate course on Generalized Linear Models at SFU in Spring 2020
A Bayesian network structure learning routine for collecting all networks within a factor of optimal
Bayesian Model Averaging - Expectation Maximization in MATLAB and Python
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.
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