Missing Values
Random Forests with Missing Data
PhD-era work in R on random forests for regression and prediction when part of the input information is missing.
Variational Autoencoders with Missing Data
Earlier research on autoencoders and variational autoencoders for dimensionality reduction, reconstruction, and missing-data settings.
World Happines Report (WHR) 2017
Applied statistical analysis of the World Happiness Report, focused on well-being and its social drivers.