Nonparametric regression using linear combinations of basis functions. - Robert Kohn; Michael S. Smith; David Chan (Stat. Comput., 2001)

Assessing brain activity through spatial bayesian variable selection. - Michael S. Smith; Benno Pütz; Dorothee Auer; Ludwig Fahrmeir (NeuroImage, 2003)

Bayesian skew selection for multivariate models. - Anastasios Panagiotelis; Michael S. Smith (Comput. Stat. Data Anal., 2010)

Modeling Multivariate Distributions Using Copulas: Applications in Marketing. - Peter J. Danaher; Michael S. Smith (Mark. Sci., 2011)

Rejoinder - Estimation Issues for Copulas Applied to Marketing Data. - Peter J. Danaher; Michael S. Smith (Mark. Sci., 2011)

Selective Collection and Condensation of Exhaled Breath for Glucose Detection. - Divya Tankasala; Gabriel P. Ng; Michael S. Smith; Jessica R. Bendell; Jacqueline C. Linnes (EMBC, 2018)

Artificial Intelligence and Machine Learning in Nuclear Physics. - Amber Boehnlein; Markus Diefenthaler; Cristiano Fanelli; Morten Hjorth-Jensen; Tanja Horn; Michelle P. Kuchera; Dean Lee; Witold Nazarewicz; Kostas Orginos; Peter Ostroumov; Long-Gang Pang; Alan W. P. Poon; et al. (CoRR, 2021)

Marginally Calibrated Deep Distributional Regression. - Nadja Klein; David J. Nott; Michael Stanley Smith (J. Comput. Graph. Stat., 2021)

Efficient Variational Inference for Large Skew-t Copulas with Application to Intraday Equity Returns. - Lin Deng; Michael Stanley Smith; Worapree Maneesoonthorn (CoRR, 2023)

Implicit Copula Variational Inference. - Michael Stanley Smith; Ruben Loaiza-Maya (J. Comput. Graph. Stat., 2023)

Natural gradient hybrid variational inference with application to deep mixed models. - Weiben Zhang; Michael S. Smith; Worapree Maneesoonthorn; Ruben Loaiza-Maya (Stat. Comput., 2024)

Vector Copula Variational Inference and Dependent Block Posterior Approximations. - Yu Fu; Michael Stanley Smith; Anastasios Panagiotelis (CoRR, 2025)