LAB

Introducing Research Works And Publications

RESEARCH

I LAB > RESEARCH

Research Interests

Approximate Bayesian inference; Bayesian machine learning using divergence measures; Bayesian model diagnostics; Bayesian model selection/averaging; Big data integration; Causal inference; High-dimensional data analysis; Functional data analysis; Missing data analysis; Low-rank matrix estimation; Survey sampling.

Works

A sparse empirical Bayes approach to high-dimensional Gaussian process‐based varying coefficient models

Stat | 2024-06 | Journal article

Contributors Shiqiang Jin; Gyuhyeong Goh

A hybrid deterministic–deterministic approach for high-dimensional Bayesian variable selection with a default prior

Micromachines | 2020-03 | Journal article

Contributors Shiqiang Jin; Gyuhyeong Goh (2024.05)

Bayesian selection of best subsets via hybrid search

Computational Statistics | 2021-09 | Journal article

Contributors Shiqiang Jin; Gyuhyeong Goh

Digital Entrepreneurs in Artificial Intelligence and Data Analytics: Who Are They?

Journal of Open Innovation: Technology, Market, and Complexity | 2020-09 | Journal Article

Contributors Bongsug (Kevin) Chae; Gyuhyeong Goh

Microfabrication of Microlens by Timed-Development-and-Thermal-Reflow (TDTR) Process for Projection Lithography

Micromachines | 2020-03 | Journal article

Contributors Jun Ying Tan; Gyuhyeong Goh; Jungkwun Kim

A note on consistency of Bayesian high‐dimensional variable selection under a default prior

Stat | 2020-01 | Journal article

Contributors Min Hua; Gyuhyeong Goh