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Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Author(s): Paul Fearnhead (Author), Christopher Nemeth (Author), Chris J. Oates (Author), Chris Sherlock (Author)
- Publisher: Cambridge University Press
- Publication Date: June 5, 2025
- Language: English
- Print length: 247 pages
- ISBN-10: 100928844X
- ISBN-13: 9781009288446
Book Description
Editorial Reviews
Editorial Reviews
Book Description
About the Author
Christopher Nemeth is Professor of Statistics at Lancaster University, working at the interface of Statistics and Machine Learning, with a focus on probabilistic modelling and the development of new computational tools for statistical inference. In 2020, he was awarded a UKRI Turing AI Fellowship to develop new algorithms for probabilistic AI.
Chris. J. Oates leads a team working in the areas of Computational Statistics and Probabilistic Machine Learning at Newcastle University. He was awarded a Leverhulme Prize for Mathematics and Statistics in 2023, and the Guy Medal in Bronze of the Royal Statistical Society in 2024.
Chris Sherlock is Professor of Statistics at Lancaster University. After working in data assimilation, numerical modelling and software engineering, he was caught up in the excitement of Computationally Intensive Bayesian Statistics, obtaining a Ph.D. in the topic and now leading a group of like-minded researchers.