Projects

A design-based matching framework for staggered adoption with time-varying confounding

Time-series matching for inference of heterogeneous causal effects

causal inference

time series

Mixing samples to address weak overlap in causal inference

A nonparametric solution to mitigate overlap violation in ATT estimation

causal inference

robustness

Understanding young stellar cluster formation in the Triangulum Galaxy (M33) through point process models

spatiotemporal

point process

astrophysics

Identifying common factors in multi-source data

Algorithm for detecting partially joint structures of N ≥ 3 datasets

high-dimensional

dimension reduction

Application of Functional Clustering Methods to Climate Data

Data-driven climate classification of Korea and Japan

functional data

clustering

dimension reduction