Discrete Stochastic Processes and Applications

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Discrete Stochastic Processes and Applications by Jean-François Collet, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Jean-François Collet ISBN: 9783319740188
Publisher: Springer International Publishing Publication: April 5, 2018
Imprint: Springer Language: English
Author: Jean-François Collet
ISBN: 9783319740188
Publisher: Springer International Publishing
Publication: April 5, 2018
Imprint: Springer
Language: English

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 introduction to probability and information theory. Prerequisites include working knowledge of linear algebra, calculus, and probability theory. The first part of the text focuses on the rigorous theory of Markov processes on countable spaces (Markov chains) and provides the basis to developing solid probabilistic intuition without the need for a course in measure theory. The approach taken is gradual beginning with the case of discrete time and moving on to that of continuous time. The second part of this text is more applied; its core introduces various uses of convexity in probability and presents a nice treatment of entropy.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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 introduction to probability and information theory. Prerequisites include working knowledge of linear algebra, calculus, and probability theory. The first part of the text focuses on the rigorous theory of Markov processes on countable spaces (Markov chains) and provides the basis to developing solid probabilistic intuition without the need for a course in measure theory. The approach taken is gradual beginning with the case of discrete time and moving on to that of continuous time. The second part of this text is more applied; its core introduces various uses of convexity in probability and presents a nice treatment of entropy.

More books from Springer International Publishing

Cover of the book Nature-Inspired Design of Hybrid Intelligent Systems by Jean-François Collet
Cover of the book Analytical Corporate Finance by Jean-François Collet
Cover of the book Governmental Forms and Economic Development by Jean-François Collet
Cover of the book Engineering Applications of FPGAs by Jean-François Collet
Cover of the book Millimeter-Wave Antennas: Configurations and Applications by Jean-François Collet
Cover of the book Top-down Community Building and the Politics of Inclusion by Jean-François Collet
Cover of the book The Invisible Universe by Jean-François Collet
Cover of the book Inflammation, Aging, and Oxidative Stress by Jean-François Collet
Cover of the book Advances in Ergonomics in Design by Jean-François Collet
Cover of the book Quantum Statistics of Dense Gases and Nonideal Plasmas by Jean-François Collet
Cover of the book Environmental Technology in the Oil Industry by Jean-François Collet
Cover of the book Computer Vision – ECCV 2018 by Jean-François Collet
Cover of the book Excursions in Harmonic Analysis, Volume 5 by Jean-François Collet
Cover of the book Conductors, Semiconductors, Superconductors by Jean-François Collet
Cover of the book Raman Spectroscopy of Conformational Rearrangements at Low Temperatures by Jean-François Collet
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy