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Applied probabilityfrom random seque...

Girardin, Valerie.

Applied probabilityfrom random sequences to stochastic processes /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applied probabilityby Valerie Girardin, Nikolaos Limnios.
Reminder of title:	from random sequences to stochastic processes /
Author:	Girardin, Valerie.
other author:	Limnios, Nikolaos.
Published:	Cham :Springer International Publishing :2018.
Description:	xiii, 260 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Stochastic processes.
Online resource:	https://doi.org/10.1007/978-3-319-97412-5
ISBN:	9783319974125$q(electronic bk.)

Applied probabilityfrom random sequences to stochastic processes /
Girardin, Valerie.

Applied probabilityfrom random sequences to stochastic processes /[electronic resource] :by Valerie Girardin, Nikolaos Limnios. - Cham :Springer International Publishing :2018. - xiii, 260 p. :ill., digital ;24 cm.

Preface -- Independent Random Sequences -- Conditions and Martingales -- Markov Chains -- Continuous Time Stochastic Processes -- Markov and Semi-Markov Processes -- Further Reading.

This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes. Pursuing a pedagogic approach, the content follows a path of increasing complexity, from the simplest random sequences to the advanced stochastic processes. Illustrations are provided from many applied fields, together with connections to ergodic theory, information theory, reliability and insurance. The main content is also complemented by a wealth of examples and exercises with solutions.

ISBN: 9783319974125$q(electronic bk.)

Standard No.: 10.1007/978-3-319-97412-5doiSubjects--Topical Terms:

181874
Stochastic processes.

LC Class. No.: QA274.A67 / G573 2018

Dewey Class. No.: 519.2

Applied probabilityfrom random sequences to stochastic processes /
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245 1 0 $a Applied probability $h [electronic resource] : $b from random sequences to stochastic processes / $c by Valerie Girardin, Nikolaos Limnios.
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505 0 $a Preface -- Independent Random Sequences -- Conditions and Martingales -- Markov Chains -- Continuous Time Stochastic Processes -- Markov and Semi-Markov Processes -- Further Reading.
520 $a This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes. Pursuing a pedagogic approach, the content follows a path of increasing complexity, from the simplest random sequences to the advanced stochastic processes. Illustrations are provided from many applied fields, together with connections to ergodic theory, information theory, reliability and insurance. The main content is also complemented by a wealth of examples and exercises with solutions.
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