Description
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.
About the Author
AZAIS Romain, Inria Nancy - Grand Est, Institut Elie Cartan de Lorraine.
BOUGUET Florian, Inria Nancy - Grand Est, Institut Elie Cartan de Lorraine.
Book Information
ISBN 9781786303028
Author Romain Azais
Format Hardback
Page Count 304
Imprint ISTE Ltd and John Wiley & Sons Inc
Publisher ISTE Ltd and John Wiley & Sons Inc
Weight(grams) 612g
Dimensions(mm) 234mm * 160mm * 22mm
