Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics
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Description
Building on a strong foundation of philosophy, theory, methods and computation over the past three decades, Bayesian approaches are now an integral part of the toolkit for most statisticians and data scientists. Whether they are dedicated Bayesians or opportunistic users, applied professionals can now reap many of the benefits afforded by the Bayesian paradigm. In this paper, we touch on six modern opportunities and challenges in applied Bayesian statistics: intelligent data collection, new data sources, federated analysis, inference for implicit models, model transfer and purposeful software products. This article is part of the theme issue 'Bayesian inference: challenges, perspectives, and prospects'.
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| ID Code: | 239007 | ||||||||||||||||||
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| Item Type: | Contribution to Journal (Journal Article) | ||||||||||||||||||
| Refereed: | Yes | ||||||||||||||||||
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| Additional Information: | A.B. and J.J.B. acknowledge support from an Australian Research Council Discovery Project (DP200102101); K.B. was supported by a scholarship under the Australian Research Council Linkage Project (LP180101151), S.C. receives salary and research support from an NHMRC Investigator grant no. 2008313); C.D. acknowledges support from an Australian Research Council Future Fellowship (FT210100260); C.H. was supposed by an Australian Research Council Linkage Project (LP200100468); J.M. was supported by an Australian Research Council Discovery (DP200101263) and Linkage Project (LP180101151). | ||||||||||||||||||
| Measurements or Duration: | 29 pages | ||||||||||||||||||
| DOI: | 10.1098/rsta.2022.0156 | ||||||||||||||||||
| ISSN: | 1364-503X | ||||||||||||||||||
| Pure ID: | 128859521 | ||||||||||||||||||
| Divisions: | Current > Research Centres > Centre for Healthcare Transformation Current > Research Centres > Australian Centre for Health Services Innovation Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Computer Science Current > Schools > School of Mathematical Sciences Current > QUT Faculties and Divisions > Faculty of Health Current > Schools > School of Public Health & Social Work |
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| Copyright Owner: | 2023 The Authors | ||||||||||||||||||
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||||||||||||||||
| Deposited On: | 05 Apr 2023 01:21 | ||||||||||||||||||
| Last Modified: | 04 Apr 2024 09:48 |
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