Research output per year
Research output per year
Personal profile
In Korean
고규형 교수(자연과학대학 통계학과)
Education
o (2008) B.S. (Statistics), Kyungpook National University, Daegu, South Korea
o (2011) M.S. (Statistics), Kyungpook National University, Daegu, South Korea
o (2013) M.S. (Statistics), University of Connecticut, Storrs, U.S.A.
o (2015) Ph.D. (Statistics), University of Connecticut, Storrs, U.S.A.
o (2011) M.S. (Statistics), Kyungpook National University, Daegu, South Korea
o (2013) M.S. (Statistics), University of Connecticut, Storrs, U.S.A.
o (2015) Ph.D. (Statistics), University of Connecticut, Storrs, U.S.A.
Professional Experience
o (2023 ~ Present) Associate Professor, Kyungpook National University, Daegu, South Korea
o (2021 ~ 2023) (Tenured) Associate Professor, Kansas State University, Manhattan, KS, U.S.A.
o (2015 ~ 2021) Assistant Professor, Kansas State University, Manhattan, KS, U.S.A.
o (2021 ~ 2023) (Tenured) Associate Professor, Kansas State University, Manhattan, KS, U.S.A.
o (2015 ~ 2021) Assistant Professor, Kansas State University, Manhattan, KS, U.S.A.
Research Interests
Bayesian inference,
Bayesian machine learning,
Bayesian model diagnostics,
Bayesian model selection/averaging,
Causal inference,
High-dimensional data analysis,
Missing data analysis,
Low-rank matrix estimation
Bayesian machine learning,
Bayesian model diagnostics,
Bayesian model selection/averaging,
Causal inference,
High-dimensional data analysis,
Missing data analysis,
Low-rank matrix estimation
Major Research Achievements
o Causal inference with some invalid instrumental variables: A quasi‐Bayesian approach. Oxford Bulletin of Economics and Statistics. 2022; 84(6): 1432-1451 (with Yu, J.)
o Synthetic control method with convex hull restrictions: a Bayesian maximum a posteriori approach. The Econometrics Journal. 2022; 25(1): 215-232 (with Yu, J.)
o Accounting for model uncertainty in multiple imputation under complex sampling. Scandinavian Journal of Statistics. 2021; 48(3): 930-949 (with Kim, J. K.)
o Bayesian selection of best subsets via hybrid search. Computational Statistics. 2021: 36(3); 1991-2007 (with Jin, S.)
o Synthetic control method with convex hull restrictions: a Bayesian maximum a posteriori approach. The Econometrics Journal. 2022; 25(1): 215-232 (with Yu, J.)
o Accounting for model uncertainty in multiple imputation under complex sampling. Scandinavian Journal of Statistics. 2021; 48(3): 930-949 (with Kim, J. K.)
o Bayesian selection of best subsets via hybrid search. Computational Statistics. 2021: 36(3); 1991-2007 (with Jin, S.)
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A hybrid deterministic–deterministic approach for high-dimensional Bayesian variable selection with a default prior
Lee, J. & Goh, G., May 2024, In: Computational Statistics. 39, 3, p. 1659-1681 23 p.Research output: Contribution to journal › Article › peer-review
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A sparse empirical Bayes approach to high-dimensional Gaussian process-based varying coefficient models
Kim, M. & Goh, G., Jun 2024, In: Stat. 13, 2, e678.Research output: Contribution to journal › Article › peer-review
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Reference gene selection for normalizing gene expression using quantitative real-time PCR in Haemaphysalis longicornis
Park, Y. E., Kim, Y. H., Goh, G., Lee, S. H., Choi, K. S. & Kim, Y. H., Jan 2023, In: Entomological Research. 53, 1, p. 29-41 13 p.Research output: Contribution to journal › Article › peer-review
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A fully Bayesian approach to sparse reduced-rank multivariate regression
Yang, D., Goh, G. & Wang, H., Jun 2022, In: Statistical Modelling. 22, 3, p. 199-200 2 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Causal inference with some invalid instrumental variables: A quasi-Bayesian approach*
Goh, G. & Yu, J., Dec 2022, In: Oxford Bulletin of Economics and Statistics. 84, 6, p. 1432-1451 20 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations