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The elements of Hawkes processes

Laub, Patrick J.

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The elements of Hawkes processes

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The elements of Hawkes processes/ by Patrick J. Laub, Young Lee, Thomas Taimre.
作者:	Laub, Patrick J.
其他作者:	Lee, Young.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xiv, 133 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	Background -- Hawes Process Essentials -- Simulation Methods -- Likelihood Methods -- EM Algorithm -- Bayesian Methods -- Spectral Methods -- Goodness of Fit -- Traditional Applications -- Financial and Actuarial Applications -- Biological Applications.
Contained By:	Springer Nature eBook
標題:	Mathematical models. -
電子資源:	https://doi.org/10.1007/978-3-030-84639-8
ISBN:	9783030846398

The elements of Hawkes processes
Laub, Patrick J.

The elements of Hawkes processes[electronic resource] /by Patrick J. Laub, Young Lee, Thomas Taimre. - Cham :Springer International Publishing :2021. - xiv, 133 p. :ill. (chiefly col.), digital ;24 cm.

Background -- Hawes Process Essentials -- Simulation Methods -- Likelihood Methods -- EM Algorithm -- Bayesian Methods -- Spectral Methods -- Goodness of Fit -- Traditional Applications -- Financial and Actuarial Applications -- Biological Applications.

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.

ISBN: 9783030846398

Standard No.: 10.1007/978-3-030-84639-8doiSubjects--Topical Terms:

522882
Mathematical models.

LC Class. No.: QA401 / .L38 2021

Dewey Class. No.: 511.8

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