Generalized Quantile Random Forest with Smoothed Estimating Equations

Semiparametric Efficient Designs with Staggered Rollouts

Efficient Training of Input Convex Neural Networks Using Variable Projection

Recursive Phase Estimation with Applications to Heartbeat Processing

Protocol Amendments and Probability of Success in Clinical Trials

Physics-informed Deep Neural Networks for High Dimensional Integration

Predicting Baseball Player Performance with OLS Regression and Out-of-Sample Forecasting

Statistical Assessment of the Impact of Coronary Geometry on their Functionality