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ORCIDMichael S. Smith
Person information
- affiliation: University of Melbourne, Melbourne Business School, Carlton, Australia
- affiliation: University of Sydney, Econometrics and Business Statistics Group, Sydney, Australia
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Journal Articles
- 2023
[j7]Michael Stanley Smith
, Ruben Loaiza-Maya:
Implicit Copula Variational Inference. J. Comput. Graph. Stat. 32(3): 769-781 (2023)- 2021
- [j6]Nadja Klein, David J. Nott, Michael Stanley Smith:
Marginally Calibrated Deep Distributional Regression. J. Comput. Graph. Stat. 30(2): 467-483 (2021) - 2011
- [j5]Peter J. Danaher, Michael S. Smith:
Modeling Multivariate Distributions Using Copulas: Applications in Marketing. Mark. Sci. 30(1): 4-21 (2011) - [j4]Peter J. Danaher, Michael S. Smith:
Rejoinder - Estimation Issues for Copulas Applied to Marketing Data. Mark. Sci. 30(1): 25-28 (2011) - 2010
- [j3]Anastasios Panagiotelis, Michael S. Smith:
Bayesian skew selection for multivariate models. Comput. Stat. Data Anal. 54(7): 1824-1839 (2010) - 2003
- [j2]Michael S. Smith, Benno Pütz, Dorothee Auer, Ludwig Fahrmeir:
Assessing brain activity through spatial bayesian variable selection. NeuroImage 20(2): 802-815 (2003) - 2001
- [j1]Robert Kohn, Michael S. Smith, David Chan:
Nonparametric regression using linear combinations of basis functions. Stat. Comput. 11(4): 313-322 (2001)
Conference and Workshop Papers
- 2018
- [c1]Divya Tankasala, Gabriel P. Ng, Michael S. Smith, Jessica R. Bendell, Jacqueline C. Linnes:
Selective Collection and Condensation of Exhaled Breath for Glucose Detection. EMBC 2018: 3890-3893
Informal and Other Publications
- 2023
- [i3]Weiben Zhang, Michael Stanley Smith, Worapree Maneesoonthorn, Ruben Loaiza-Maya:
Natural Gradient Hybrid Variational Inference with Application to Deep Mixed Models. CoRR abs/2302.13536 (2023) - [i2]Lin Deng, Michael Stanley Smith, Worapree Maneesoonthorn:
Efficient Variational Inference for Large Skew-t Copulas with Application to Intraday Equity Returns. CoRR abs/2308.05564 (2023) - 2021
- [i1]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 Poon, Nobuo Sato, Malachi Schram, Alexander Scheinker, Michael S. Smith, Xin-Nian Wang, Veronique Ziegler:
Artificial Intelligence and Machine Learning in Nuclear Physics. CoRR abs/2112.02309 (2021)
Coauthor Index
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