Discrete Stochastic Processes and Applications

This unique text for beginning graduate students gives a self-contained introduction to the mathematical properties of stochastics and presents their applications to Markov processes, coding theory, population dynamics, and search engine design. The book is ideal for a newly designed course in an in...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Collet, Jean-François (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Universitext,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Preface
  • I. Markov processes
  • 1. Discrete time, countable space
  • 2. Linear algebra and search engines
  • 3. The Poisson process
  • 4. Continuous time, discrete space
  • 5. Examples
  • II. Entropy and applications
  • 6. Prelude: a user's guide to convexity
  • 7. The basic quantities of information theory
  • 8. An example of application: binary coding
  • A. Some useful facts from calculus
  • B. Some useful facts from probability
  • C. Some useful facts from linear algebra
  • D. An arithmetical lemma
  • E. Table of exponential families
  • References
  • Index.