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Genealogies Of Interacting Particle Systems (Hardcover) Loot Price: R3,397
Discovery Miles 33 970
Genealogies Of Interacting Particle Systems (Hardcover): Matthias Birkner, Rongfeng Sun, Jan M. Swart

Genealogies Of Interacting Particle Systems (Hardcover)

Matthias Birkner, Rongfeng Sun, Jan M. Swart

Series: Lecture Notes Series, Institute for Mathematical Sciences, National University of Singapore, 38

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Loot Price R3,397 Discovery Miles 33 970 | Repayment Terms: R318 pm x 12*

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Interacting particle systems are Markov processes involving infinitely many interacting components. Since their introduction in the 1970s, researchers have found many applications in statistical physics and population biology. Genealogies, which follow the origin of the state of a site backwards in time, play an important role in their studies, especially for the biologically motivated systems.The program Genealogies of Interacting Particle Systems held at the Institute for Mathematical Sciences, National University of Singapore, from 17 July to 18 Aug 2017, brought together experts and young researchers interested in this modern topic. Central to the program were learning sessions where lecturers presented work outside of their own research, as well as a normal workshop. This is reflected in the present volume which contains two types of articles:Written by respected researchers, including experts in the field such as Steve Evans, member of the US National Academy of Sciences, as well as Anton Wakolbinger, Andreas Greven, and many others, this volume will no doubt be a valuable contribution to the probability community.

General

Imprint: World Scientific Publishing Co Pte Ltd
Country of origin: Singapore
Series: Lecture Notes Series, Institute for Mathematical Sciences, National University of Singapore, 38
Release date: February 2020
First published: 2020
Editors: Matthias Birkner • Rongfeng Sun • Jan M. Swart
Format: Hardcover
Pages: 364
ISBN-13: 978-981-12-0608-5
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
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LSN: 981-12-0608-2
Barcode: 9789811206085

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