PUBLICATIONS
Introducing Research Works And Publications
Embedded Files
Published Papers
Published Papers
* denotes a student author under principal investigator's supervision
2025
2025
28. W. Duan & G. Goh (2025). “Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression”, Statistical Analysis and Data Mining: The ASA Data Science Journal, 18(2), e70018.
27. M. Hua & G. Goh (2025). “Posterior model consistency in high-dimensional Bayesian variable selection with arbitrary priors”, Statistics and Probability Letters, 223, 110415.
26. M. Adenauer, M. K. Adjemian, S. Arita, W. Brorsen, J. Cooper, G. Goh, B. Karali, M. L. Mallory, W. Thompson & J. Yu (2025). “Impacts of unilateral U.S. carbon policies on agricultural sector greenhouse gas emissions and commodity markets”, Environmental Research Letters, 20(2), 024022.
2024
2024
25. M. Kim & G. Goh (2024). “A sparse empirical Bayes approach to high-dimensional Gaussian process-based varying coefficient models”, Stat, 13(2), e678.
24. J. Lee & G. Goh (2024). “A hybrid deterministic–deterministic approach for high-dimensional Bayesian variable selection with a default prior”, Computational Statistics, 39, 1659-1681.
2023
2023
23. Y. E. Park, Y. H. Kim, G. Goh, S. H. Lee, K. S. Choi, & Y. H. Kim (2023). “Reference gene selection for normalizing gene expression using quantitative real‐time PCR in Haemaphysalis longicornis”, Entomological Research, 53 (1), 29-41.
2022
2022
22. G. Goh & J. Yu (2022). “Causal inference with some invalid instrumental variables: A quasi-Bayesian approach”, Oxford Bulletin of Economics and Statistics , 84 (6), 1432-1451.
21. Y. H. Kim, G. Goh, & Y. H. Kim (2022). “Expression of antimicrobial peptides associated with different susceptibilities to environmental chemicals in Drosophila suzukii and Drosophila melanogaster”, Pesticide Biochemistry and Physiology, 187, 105210.
20. J. Yu & G. Goh (2022). “Estimating temperature impacts on perennial crop losses in California: Insights from insurance data”, Applied Economic Perspectives and Policy, 44 (3), 1409-1423.
19. D. Peric, G. Goh, J. Saeidaskari, A. S. Rashk Olia, & P. Ayar (2022). “Development of prediction models for performance of flexible pavements in Kansas with emphasis on the effects of subgrade and unbound layers”, Sustainability ,14 (15), 9020.
18. D. Yang* , G. Goh, & H. Wang (2022). “A fully Bayesian approach to sparse reduced-rank multivariate regression”, Statistical Modelling, 22 (3), 199-200.
17. G. Goh & J. Yu (2022). “Synthetic control method with convex hull restrictions: A Bayesian maximum a posteriori approach”, The Econometrics Journal, 25 (1), 215-232.
2021
2021
16. G. Chu* & G. Goh (2021). “Global optimal model selection for high-dimensional survival analysis”, Journal of Statistical Computation and Simulation, 91 (18), 3850-3863.
15. G. Goh & J. K. Kim (2021). “Accounting for model uncertainty in multiple imputation under complex sampling”, Scandinavian Journal of Statistics, 48 (3), 930-949.
14. S. Jin* & G. Goh (2021). “Bayesian selection of best subsets via hybrid search”, Computational Statistics, 36, 1991-2007.
2020
2020
13. D. K. Dey & G. Goh (2020). “On foundation of statistical inference by C R Rao relating to information inequality”, Proceedings - Mathematical Sciences (Special Issue in Honour of Professor C R Rao on His Birth Centenary) 130, 1-8.
12. M. Hua* & G. Goh (2020). “A note on consistency of Bayesian high-dimensional variable selection under a default prior”, Stat, e282.
11. J.Y. Tan, G. Goh, & J. Kim (2020). “Microfabrication of Microlens by Timed-Developmentand-Thermal-Reflow (TDTR) Process for Projection Lithography.” Micromachines, 11, 277.
10. B. Chae & G. Goh (2020). “Digital Entrepreneurs in Artificial Intelligence and Data Analytics: Who Are They?”, Journal of Open Innovation: Technology, Market, and Complexity, 6 (56)
2019
2019
9. G. Goh & D. K. Dey (2019). “Asymptotic properties of marginal least squares estimator for ultrahigh-dimensional linear regression models with correlated errors”, The American Statistician, 73, 4–9.
8. J. Yu & G. Goh (2019). “Estimating non-additive within-season temperature effects on maize yields using Bayesian approaches”, Scientific Reports, 9, 1–8.
2018
2018
7. G. Goh & D. K. Dey (2018). “Bayesian MAP estimation using Gaussian and diffusedgamma prior”, The Canadian Journal of Statistics, 46, 399–415.
2017
2017
6. G. Goh, K. Chen, & D. K. Dey (2017). “Bayesian sparse reduced rank multivariate regression”, Journal of Multivariate Analysis, 157, 14–28.
2016
2016
5. D.A. Drew, G. Goh, A. Mo, J.J. Grady, F. Forouhar, G. Egan, H. Swede, D.W. Rosenberg, R.G. Stevens, & T.J. Devers (2016).“Colorectal Polyp Prevention by Daily Aspirin Use is Abrogated Among Active Smokers”, Cancer Causes & Control, 27, 93–103.
2015
2015
4. E.A. Brownell, J.I. Hagadorn, M.M. Lussier, G. Goh, K.N. Thevenet–Morrison, T.J. Lerer, V.C. Herson, and C.R. Howard (2015). “Optimal Periods of Exclusive Breastfeeding to Predict Any Breastfeeding Duration Through One Year”, The Journal of Pediatrics, 166, 566–570.
2014
2014
3. G. Goh & D. K. Dey (2014). “Bayesian model diagnostics using functional Bregman divergence”, Journal of Multivariate Analysis, 124, 371—383.
2. D. Kim, G. Goh, & Y. Kim (2014). “Hierarchical Bayesian approach to a multi-site hidden Markov model”, Communications in Statistics - Simulation and Computation, 43, 1241–1252.
2013
2013
1. H.M. Smilowitz, D. Sasso, E.W. Lee, G. Goh, P.L. Micca, & F.A. Dilmanian (2013). “Therapy model for advanced intracerebral B16 mouse melanoma using radiation therapy combined with immunotherapy”, Cancer Immunology, Immunotherapy, 62, 1187–1197.
Book Chapters
Book Chapters
1. G. Goh and D. K. Dey (2021). “Bayesian model assessment and selection using Bregman divergence” In: Contributions of Barry C. Arnold to Statistical Science - Theory and Applications (Eds. I. Ghosh, N. Balakrishnan, and H. K. T. Ng)
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