Point Process Calculus in Time and Space

An Introduction with Applications de

Éditeur :

Springer


Collection :

Probability Theory and Stochastic Modelling

Paru le : 2020-12-05

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Description



This book provides an introduction to the theory and applications of point processes, both in time and in space. Presenting the two components of point process calculus, the martingale calculus and the Palm calculus, it aims to develop the computational skills needed for the study of stochastic models involving point processes, providing enough of the general theory for the reader to reach a technical level sufficient for most applications. 
Classical and not-so-classical models are examined in detail, including Poisson–Cox, renewal, cluster and branching (Kerstan–Hawkes) point processes.The applications covered in this text (queueing, information theory, stochastic geometry and signal analysis) have been chosen not only for their intrinsic interest but also because they illustrate the theory. 
Written in a rigorous but not overly abstract style, the book will be accessible to earnest beginners with a basic training in probability but will also interest upper graduate students and experienced researchers.








Pages
556 pages
Collection
Probability Theory and Stochastic Modelling
Parution
2020-12-05
Marque
Springer
EAN papier
9783030627522
EAN PDF
9783030627539

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
55
Taille du fichier
3543 Ko
Prix
137,14 €