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Romain Azais & Florian Bouguet 
Statistical Inference for Piecewise-deterministic Markov Processes 

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Örtmek Romain Azais & Florian Bouguet: Statistical Inference for Piecewise-deterministic Markov Processes (ePUB)
Piecewise-deterministic Markov processes form a class of stochastic models with a sizeable scope of applications: biology, insurance, neuroscience, networks, finance… Such processes are defined by a deterministic motion punctuated by random jumps at random times, and offer simple yet challenging models to study. Nevertheless, the issue of statistical estimation of the parameters ruling the jump mechanism is far from trivial.

Responding to new developments in the field as well as to current research interests and needs, Statistical inference for piecewise-deterministic Markov processes offers a detailed and comprehensive survey of state-of-the-art results. It covers a wide range of general processes as well as applied models. The present book also dwells on statistics in the context of Markov chains, since piecewise-deterministic Markov processes are characterized by an embedded Markov chain corresponding to the position of the process right after the jumps.
€139.99
Ödeme metodları

Yazar hakkında

AZAÏS Romain, Inria Nancy – Grand Est, Institut Elie Cartan de Lorraine.

BOUGUET Florian, Inria Nancy – Grand Est, Institut Elie Cartan de Lorraine.
Dil İngilizce ● Biçim EPUB ● Sayfalar 304 ● ISBN 9781119544036 ● Dosya boyutu 57.4 MB ● Editör Romain Azais & Florian Bouguet ● Yayımcı John Wiley & Sons ● Yayınlanan 2018 ● Baskı 1 ● İndirilebilir 24 aylar ● Döviz EUR ● Kimlik 6559250 ● Kopya koruma Adobe DRM
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