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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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The Elements of Hawkes Processes (Paperback, 1st ed. 2021) Loot Price: R2,986
Discovery Miles 29 860
The Elements of Hawkes Processes (Paperback, 1st ed. 2021): Patrick J. Laub, Young Lee, Thomas Taimre

The Elements of Hawkes Processes (Paperback, 1st ed. 2021)

Patrick J. Laub, Young Lee, Thomas Taimre

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Loot Price R2,986 Discovery Miles 29 860 | Repayment Terms: R280 pm x 12*

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Hawkes processes are studied and used in a wide range of disciplines: mathematics, social sciences, and earthquake modelling, to name a few. This book presents a selective coverage of the core and recent topics in the broad field of Hawkes processes. It consists of three parts. Parts I and II summarise and provide an overview of core theory (including key simulation methods) and inference methods, complemented by a selection of recent research developments and applications. Part III is devoted to case studies in seismology and finance that connect the core theory and inference methods to practical scenarios. This book is designed primarily for applied probabilists, statisticians, and machine learners. However, the mathematical prerequisites have been kept to a minimum so that the content will also be of interest to undergraduates in advanced mathematics and statistics, as well as machine learning practitioners. Knowledge of matrix theory with basics of probability theory, including Poisson processes, is considered a prerequisite. Colour-blind-friendly illustrations are included.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: 2023
First published: 2021
Authors: Patrick J. Laub • Young Lee • Thomas Taimre
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 133
Edition: 1st ed. 2021
ISBN-13: 978-3-03-084641-1
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN: 3-03-084641-5
Barcode: 9783030846411

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