Computational Statistics & Data Analysis

Discovering Causal Structures in Corrupted Data: Frugality in Anchored Gaussian DAG Models

Shin, Joonho, Junhyoung Chung, Seyong Hwang, and Gunwoong Park

Discretization: Privacy-preserving data publishing for causal discovery

Ahn, Youngmin, Woongjoon Park, and Gunwoong Park

Multi-task optimization with Bayesian neural network surrogates for parameter estimation of a simulation model

H. Kim, C. Park, and H. Kim

Densely connected sub-Gaussian linear structural equation model learning via ℓ1- and ℓ2-regularized regressions

Choi, Semin, Yesool Kim, and Gunwoong Park

Dynamic Covariance Estimation via Predictive Wishart Process with an Application on Brain Connectivity Estimation

Rui Meng, Fan Yang, Won Hwa Kim