Regularization Adjusted Local Average Treatment Estimation for Regression Discontinuity Designs

The regression discontinuity design is one of the most popular and credible methods available for causal inference with observational data.  

Symbolic Data Analysis: Statistical Inference on Interval Data Regression

Recent developments for analyzing droplet-based single cell transcriptomic data

The design of the National Forest Inventory for the Royal Government of Bhutan

Mining Differential Correlation

Given data obtained under two sampling conditions, it is often of interest to identify variables that behave differently in one condition than in the other. This talk will describe a method for differential analysis of second-order behavior called Differential Correlation Mining (DCM). DCM is a special case of differential analysis for weighted networks, and is distinct from standard analyses of first order differential behavior, for example studies of differential expression.

D-Optimal Designs for Multinomial Logistic Models