This book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topics
and corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this book
are Markov, semi-Markov, autoregressive and piecewise deterministic Markov models. The material is divided into three parts
corresponding to: (i) Markov and semi-Markov processes, (ii) autoregressive processes and (iii) techniques based on divergence
measures and entropies. A special attention is payed to applications in reliability, survival analysis and related fields.
Table des matières
SECTION 1: Markov and semi-Markov Processes SECTION 2: Autoregressive Processes SECTION 3: Divergence Measures and Entropies
A propos de l’auteur
‘Vlad Stefan BARBU1 : 1Associate Professor of Mathematics (Statistics) – HDR (Habilitation to Conduct Research); Laboratory of Mathematics Raphael
Salem, University of Rouen – Normandy, France
Nicolas VERGNE : Associate Professor of Mathematics (Statistics); Laboratory of Mathematics Raphael Salem, University of Rouen – Normandy,
France’
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