2018 - 2019

Stability-driven deep model interpretation and provably fast MCMC sampling Data science is transforming many traditional ways in which we approach scientific problems. While the abundance of data and algorithms generate a lot of excitement in statistical...

Title: A modern maximum-likelihood approach for high-dimensional logistic regression Abstract: L ogistic regression is arguably the most widely used and studied non-linear model in statistics. Classical maximum-likelihood theory based statistical...

Spectral Methods and Nonconvex Optimization: A Modern Statistical Perspective Modern statistical analysis often requires integration of statistical thinking and algorithmic thinking. In many problems, statistically sound estimation procedures (e.g., the...

Non-iterative Estimation Update for Parametric and Semiparametric Models with Population-based Auxiliary Information With the advancement in disease registries and surveillance data, population-based information on disease incidence, survival probability...

Mendelian randomization: A comprehensive statistical approach and applications to preventing heart disease Mendelian randomization (MR) can give unbiased estimate of a confounded causal effect by using genetic variants as instrumental variables. The...