# Probability and statistics by example: II Markov chains: A primer in random processes and their applications

Iouri M. Soukhov, Mark Kelbert

Research output: Book/ReportBook

14 Citations (Scopus)

### Abstract

Probability and Statistics are as much about intuition and problem solving as they are about theorem proving. Because of this, students can find it very difficult to make a successful transition from lectures to examinations to practice, since the problems involved can vary so much in nature. Since the subject is critical in many modern applications such as mathematical finance, quantitative management, telecommunications, signal processing, bioinformatics, as well as traditional ones such as insurance, social science and engineering, the authors have rectified deficiencies in traditional lecture-based methods by collecting together a wealth of exercises with complete solutions, adapted to needs and skills of students. Following on from the success of Probability and Statistics by Example: Basic Probability and Statistics, the authors here concentrate on random processes, particularly Markov processes, emphasizing models rather than general constructions. Basic mathematical facts are supplied as and when they are needed and historical information is sprinkled throughout.

Original language English (US) Cambridge University Press 487 2 9780511813641 9780521847674 https://doi.org/10.1017/CBO9780511813641 Published - Jan 1 2008

### Fingerprint

Random process
Markov chain
Statistics
Mathematical Finance
Theorem Proving
Social Sciences
Telecommunications
Insurance
Markov Process
Process Model
Exercise
Signal Processing
Bioinformatics
Vary
Engineering

### All Science Journal Classification (ASJC) codes

• Mathematics(all)

### Cite this

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Cambridge University Press, 2008. 487 p.

Research output: Book/ReportBook

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