Markov chains : from theory to implement
โ Gagniuc, Paul A
๐ Library
๐
2017
๐ John Wiley & Sons
๐ English
โฆ LIBER โฆ
๐
Markov chains. From theory to implementation and experimentation
โ Scribed by Gagniuc, Paul A
- Publisher
- Wiley
- Year
- 2017
- Tongue
- English
- Leaves
- 236
- Category
- Library
โฌ Acquire This Volume
No coin nor oath required. For personal study only.
โฆ Synopsis
From observation to simulation -- Building the stochastic matrix -- Predictions by using 2-state Markov chains -- Predictions by using N-state Markov chains -- Absorbing Markov chains -- The average time spent in each state -- Discussions on different configurations of chains -- The simulation of an N-state Markov chain
Abstract:
A fascinating and instructive guide to Markov chains for experienced users and newcomers alike This unique guide to Markov chains approaches the subject along the four convergent lines of Read more...
โฆ Subjects
Markov processes
๐ SIMILAR VOLUMES
Markov Chains and Dependability Theory
โ Rubino G., Sericola B.
๐ Library
๐
2014
๐ CUP
๐ English
Markov chains: theory, algorithms and ap
โ Sericola, Bruno
๐ Library
๐
2013
๐ Iste
๐ English
Markov Chains: Theory, Algorithms and Ap
โ Bruno Sericola
๐ Library
๐
2013
๐ Wiley-ISTE
๐ English
<p>Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communication networks and manufacturing systems. The success of Markov chains is mainly due to their simplicity of us
Martingales and Markov chains: solved ex
โ Paolo Baldi, Laurent Mazliak, Pierre Priouret
๐ Library
๐
2002
๐ Chapman and Hall/CRC
๐ English
Hidden Markov Models: Theory and Impleme
โ Joรฃo Paulo Coelho; Tatiana M. Pinho; Josรฉ Boaventura-Cunha
๐ Library
๐
2019
๐ CRC Press
๐ English
This book presents, in an integrated form, both the analysis and synthesis of three different types of hidden Markov models. Unlike other books on the subject, it is generic and does not focus on a specific theme, e.g. speech processing. Moreover, it presents the translation of hidden Markov models'