New Frontiers in Bayesian Statistics / Springer Proceedings in Mathematics & Statistics Bd.405 (PDF)
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The proceedings highlight many different topics in Bayesian statistics, presenting promising methodological approaches to address important challenges in a variety of applications. The book is intended for a broad audience of people interested in statistics, and provides a series of stimulating contributions on theoretical, methodological, and computational aspects of Bayesian statistics.
Federico Camerlenghi is an Assistant Professor of Statistics at the Department of Economics, Management and Statistics and a board member of the Ph.D. in Economics, Statistics and Data Science at the University of Milano-Bicocca, Italy. His research mainly focuses on the construction and investigation of Bayesian nonparameteric models to handle exchangeable and partially exchangeable data. He received the Savage award in Theory & Methods in 2017, and he was the chair of the junior Section of the International Society for Bayesian Analysis (j-ISBA) in 2019.
Sally Paganin is a Research fellow in the Department of Biostatistics at Harvard T.H. Chan School of Public Health, and treasurer of the junior Section of the International Society for Bayesian Analysis (j-ISBA). Previously, she was a Postdoctoral Researcher at UC Berkeley, and a core team member of the NIMBLE software project. Her research focuses on Bayesian methods and statistical models for complex data, along with the development of statistical software and algorithms.
- 2022, 1st ed. 2022, 117 Seiten, Englisch
- Herausgegeben: Raffaele Argiento, Federico Camerlenghi, Sally Paganin
- Verlag: Springer International Publishing
- ISBN-10: 303116427X
- ISBN-13: 9783031164279
- Erscheinungsdatum: 26.11.2022
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