Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
Language: English
Published by Cambridge University Press, 2025
- Hardcover
- New

Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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In English.
Seller Inventory # ria9781009288446_new
- Title
- Scalable Monte Carlo for Bayesian Learning (Institute of Mathematical Statistics Monographs)
- Author
- Fearnhead, Paul; Nemeth, Christopher; Oates, Chris J.; Sherlock, Chris
- Publisher
- Cambridge University Press
- Publication year
- 2025
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 100928844X
- ISBN 13
- 9781009288446
- Item weight
- 624 grams
"Synopsis" may belong to another edition of this title.
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.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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AbeBooks seller since March 25, 2015
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