Publications and preprints

Robust Universal Inference

Beomjo Park, Sivaraman Balakrishnan, Larry Wasserman.   
⁕ Winner of ASA Statistical Learning and Data Science Student Paper Award

Spatio-temporal Local Interpolation of Global Ocean Heat Transport using Argo Floats: A Debiased Latent Gaussian Process Approach

Beomjo Park, Mikael Kuusela, Donata Giglio, Alison Gray.    Annals of Applied Statistics., 2023

Bayesian semiparametric mixed effects models for meta‐analysis of the literature data : An application to cadmium toxicity studies

Seongil Jo, Beomjo Park, Yeonseung Chung, Jeongseon Kim, Eunji Lee, Jangwon Lee, Taeryon Choi.
Statistics in Medicine., 2021

Sparse signal shrinkage and outlier detection in high-dimensional quantile regression with variational Bayes

Daeyoung Lim, Beomjo Park, David Nott, Xueou Wang, Taeryon Choi.
Statistics and Its Interface. 13(2), pp. 237 – 249, 2020

bsamGP: An R Package for Bayesian Spectral Analysis Models Using Gaussian Process Priors

Seongil Jo, Taeryon Choi, Beomjo Park, Peter Lenk.    Journal of Statistical Software. 90(10), pp. 1-41, 2019

A variational Bayes approach to a semiparametric regression using Gaussian process priors

Victor M. H. Ong, David K. Mensah, David J. Nott, Seongil Jo, Beomjo Park, Taeryon Choi.
Electric Journal of Statistics. 11(2) pp. 4258-4296, 2017