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, shastic 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.
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, shastic 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.

Point Process Calculus in Time and Space: An Introduction with Applications
556
Point Process Calculus in Time and Space: An Introduction with Applications
556Paperback(1st ed. 2020)
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Product Details
ISBN-13: | 9783030627553 |
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Publisher: | Springer International Publishing |
Publication date: | 12/05/2020 |
Series: | Probability Theory and Stochastic Modelling , #98 |
Edition description: | 1st ed. 2020 |
Pages: | 556 |
Product dimensions: | 6.10(w) x 9.25(h) x (d) |