Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data

Monte Carlo Penalty Selection for graphical lasso

Modified gap statistic (gap-com) for regularization selection of sparse networks. This method is aimed for complex network estimation.

we fit various splines to model the COVID-19 daily positive case numbers in Florida from 3/3/20 – 3/7/21.

Machine Learning Hyper-parameter Tuning processes

R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process

Dataset preprocessed, tuned and trained using Support Vector Machine