Analyzing markov chains using kronecker products : theory and applications

Analyzing Markov Chains using Kronecker

📁 Analyzing Markov Chains using Kronecker Products: Theory and Applications

✍ Tuğrul Dayar (auth.) 📂 Library 📅 2012 🏛 Springer-Verlag New York 🌐 English

Kronecker products are used to define the underlying Markov chain (MC) in various modeling formalisms, including compositional Markovian models, hierarchical Markovian models, and stochastic process algebras. The motivation behind using a Kronecker structured representation rather than a flat one

Markov chains: theory, algorithms and ap

📁 Markov chains: theory, algorithms and applications

✍ Sericola, Bruno 📂 Library 📅 2013 🏛 Iste 🌐 English

Markov Chains: Theory, Algorithms and Ap

📁 Markov Chains: Theory, Algorithms and Applications

✍ Bruno Sericola 📂 Library 📅 2013 🏛 Wiley-ISTE 🌐 English

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

Non-Homogeneous Markov Chains and System

📁 Non-Homogeneous Markov Chains and Systems - Theory and Applications

✍ P.-C.G. Vassiliou 📂 Library 📅 2022 🏛 CRC Press 🌐 English

Non-Homogeneous Markov Chains and Systems: Theory and Applications fulfills two principal goals. It is devoted to the study of non-homogeneous Markov chains in the first part, and to the evolution of the theory and applications of non-homogeneous Markov systems (populations) in the second. The book

Semi-Markov Chains and Hidden Semi-Marko

📁 Semi-Markov Chains and Hidden Semi-Markov Models toward Applications: Their Use in Reliability and DNA Analysis

✍ Nikolaos Limnios, Vlad Stefan Barbu (auth.) 📂 Library 📅 2008 🏛 Springer-Verlag New York 🌐 English

This book is concerned with the estimation of discrete-time semi-Markov and hidden semi-Markov processes. Semi-Markov processes are much more general and better adapted to applications than the Markov ones because sojourn times in any state can be arbitrarily distributed, as opposed to the geo

Semi-Markov Chains and Hidden Semi-Marko

📁 Semi-Markov Chains and Hidden Semi-Markov Models toward Applications: Their use in Reliability and DNA Analysis

✍ Nikolaos Limnios, Vlad Stefan Barbu (auth.) 📂 Library 📅 2008 🏛 Springer-Verlag New York 🌐 English

This book is concerned with the estimation of discrete-time semi-Markov and hidden semi-Markov processes. Semi-Markov processes are much more general and better adapted to applications than the Markov ones because sojourn times in any state can be arbitrarily distributed, as opposed to the geo

Analyzing markov chains using kronecker products : theory and applications

✦ Synopsis