Handwritten digit recognition with MNIST & Keras

Targeted Maximum Likelihood Estimation for Hierarchical Data

A super learner was built by stacking logistic regression, random forest, and gradient boosting models (XGBoost) to predict whether a patient in the cardiac wards needs to be transferred to ICU.

Code for "Adaptive Selection of the Optimal Strategy to Improve Precision and Power in Randomized Trials"

Sklearn based Super Learning Stacked model

Nonparametric estimators of mediation effects with multiple mediators