Semi Markov Chains and Hidden Semi Markov Models toward Applications

Here is a work that adds much to the sum of our knowledge in a key area of science today. It is concerned with the estimation of discrete-time semi-Markov and hidden semi-Markov processes. A unique feature of the book is the use of discrete time, especially useful in some specific applications where the time scale is intrinsically discrete. The models presented in the book are specifically adapted to reliability studies and DNA analysis. The book is mainly intended for applied probabilists and statisticians interested in semi-Markov chains theory, reliability and DNA analysis, and for theoretical oriented reliability and bioinformatics engineers.

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  • Author : Vlad Stefan Barbu
  • Publisher : Springer Science & Business Media
  • Pages : 226 pages
  • ISBN : 0387731733
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKSemi Markov Chains and Hidden Semi Markov Models toward Applications

Semi-Markov Chains and Hidden Semi-Markov Models toward Applications

Semi-Markov Chains and Hidden Semi-Markov Models toward Applications
  • Author : Vlad Stefan Barbu,Nikolaos Limnios
  • Publisher : Springer Science & Business Media
  • Release : 07 January 2009
GET THIS BOOKSemi-Markov Chains and Hidden Semi-Markov Models toward Applications

Here is a work that adds much to the sum of our knowledge in a key area of science today. It is concerned with the estimation of discrete-time semi-Markov and hidden semi-Markov processes. A unique feature of the book is the use of discrete time, especially useful in some specific applications where the time scale is intrinsically discrete. The models presented in the book are specifically adapted to reliability studies and DNA analysis. The book is mainly intended for applied

Semi-Markov Models and Applications

Semi-Markov Models and Applications
  • Author : Jacques Janssen,Nikolaos Limnios
  • Publisher : Springer Science & Business Media
  • Release : 01 December 2013
GET THIS BOOKSemi-Markov Models and Applications

This book presents a selection of papers presented to the Second Inter national Symposium on Semi-Markov Models: Theory and Applications held in Compiegne (France) in December 1998. This international meeting had the same aim as the first one held in Brussels in 1984 : to make, fourteen years later, the state of the art in the field of semi-Markov processes and their applications, bring together researchers in this field and also to stimulate fruitful discussions. The set of the subjects of the papers

Hidden Semi-Markov Models

Hidden Semi-Markov Models
  • Author : Shun-Zheng Yu
  • Publisher : Morgan Kaufmann
  • Release : 15 November 2015
GET THIS BOOKHidden Semi-Markov Models

Hidden semi-Markov models (HSMMs) are among the most important models in the area of artificial intelligence / machine learning. Since the first HSMM was introduced in 1980 for machine recognition of speech, three other HSMMs have been proposed, with various definitions of duration and observation distributions. Those models have different expressions, algorithms, computational complexities, and applicable areas, without explicitly interchangeable forms. Hidden Semi-Markov Models: Theory, Algorithms and Applications provides a unified and foundational approach to HSMMs, including various HSMMs (such as the

Semi-Markov Processes: Applications in System Reliability and Maintenance

Semi-Markov Processes: Applications in System Reliability and Maintenance
  • Author : Franciszek Grabski
  • Publisher : Elsevier
  • Release : 25 September 2014
GET THIS BOOKSemi-Markov Processes: Applications in System Reliability and Maintenance

Semi-Markov Processes: Applications in System Reliability and Maintenance is a modern view of discrete state space and continuous time semi-Markov processes and their applications in reliability and maintenance. The book explains how to construct semi-Markov models and discusses the different reliability parameters and characteristics that can be obtained from those models. The book is a useful resource for mathematicians, engineering practitioners, and PhD and MSc students who want to understand the basic concepts and results of semi-Markov process theory. Clearly

Semi-Markov Models

Semi-Markov Models
  • Author : Jacques Janssen
  • Publisher : Springer Science & Business Media
  • Release : 11 November 2013
GET THIS BOOKSemi-Markov Models

This book is the result of the International Symposium on Semi Markov Processes and their Applications held on June 4-7, 1984 at the Universite Libre de Bruxelles with the help of the FNRS (Fonds National de la Recherche Scientifique, Belgium), the Ministere de l'Education Nationale (Belgium) and the Bernoulli Society for Mathe matical Statistics and Probability. This international meeting was planned to make a state of the art for the area of semi-Markov theory and its applications, to bring together researchers

Hidden Markov Models for Time Series

Hidden Markov Models for Time Series
  • Author : Walter Zucchini,Iain L. MacDonald,Roland Langrock
  • Publisher : CRC Press
  • Release : 19 December 2017
GET THIS BOOKHidden Markov Models for Time Series

Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses. After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian inference for HMMs. Through examples and applications, the authors describe how to extend and generalize the basic model so that it can be

Semi-Markov Models

Semi-Markov Models
  • Author : Yuriy E Obzherin,Elena G Boyko
  • Publisher : Academic Press
  • Release : 03 February 2015
GET THIS BOOKSemi-Markov Models

Featuring previously unpublished results, Semi-Markov Models: Control of Restorable Systems with Latent Failures describes valuable methodology which can be used by readers to build mathematical models of a wide class of systems for various applications. In particular, this information can be applied to build models of reliability, queuing systems, and technical control. Beginning with a brief introduction to the area, the book covers semi-Markov models for different control strategies in one-component systems, defining their stationary characteristics of reliability and efficiency,

Statistical Topics and Stochastic Models for Dependent Data with Applications

Statistical Topics and Stochastic Models for Dependent Data with Applications
  • Author : Vlad Stefan Barbu,Nicolas Vergne
  • Publisher : John Wiley & Sons
  • Release : 03 December 2020
GET THIS BOOKStatistical Topics and Stochastic Models for Dependent Data with Applications

This book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topics and corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this book are Markov, semi-Markov, autoregressive and piecewise deterministic Markov models. The material is divided into three parts corresponding to: (i) Markov and semi-Markov processes, (ii) autoregressive processes and (iii) techniques based on divergence measures and entropies. A special attention is payed to applications in reliability, survival

Markov Processes for Stochastic Modeling

Markov Processes for Stochastic Modeling
  • Author : Oliver Ibe
  • Publisher : Newnes
  • Release : 22 May 2013
GET THIS BOOKMarkov Processes for Stochastic Modeling

Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model the behavior of many systems including communications systems, transportation networks, image segmentation and analysis, biological systems and DNA sequence analysis, random atomic motion and diffusion in physics, social mobility, population studies, epidemiology, animal and insect migration, queueing systems, resource management, dams, financial engineering, actuarial science, and decision systems. Covering a wide range of areas

Semi-Markov Processes and Reliability

Semi-Markov Processes and Reliability
  • Author : N. Limnios,G. Oprisan
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKSemi-Markov Processes and Reliability

At first there was the Markov property. The theory of stochastic processes, which can be considered as an exten sion of probability theory, allows the modeling of the evolution of systems through the time. It cannot be properly understood just as pure mathemat ics, separated from the body of experience and examples that have brought it to life. The theory of stochastic processes entered a period of intensive develop ment, which is not finished yet, when the idea of the

Handbook Of Software Aging And Rejuvenation: Fundamentals, Methods, Applications, And Future Directions

Handbook Of Software Aging And Rejuvenation: Fundamentals, Methods, Applications, And Future Directions
  • Author : Tadashi Dohi,Kishor S Trivedi,Alberto Avritzer
  • Publisher : World Scientific
  • Release : 22 April 2020
GET THIS BOOKHandbook Of Software Aging And Rejuvenation: Fundamentals, Methods, Applications, And Future Directions

The Handbook of Software Aging and Rejuvenation provides a comprehensive overview of the subject, making it indispensable to graduate students as well as professionals in the field. It begins by introducing fundamental concepts, definitions, and the history of software aging and rejuvenation research, followed by methods, tools, and strategies that can be used to detect, analyze, and overcome software aging.

Applied Reliability Engineering and Risk Analysis

Applied Reliability Engineering and Risk Analysis
  • Author : Ilia B. Frenkel,Alex Karagrigoriou,Anatoly Lisnianski,Andre V. Kleyner
  • Publisher : John Wiley & Sons
  • Release : 22 August 2013
GET THIS BOOKApplied Reliability Engineering and Risk Analysis

This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field. With comprehensive coverage of the theoretical and practical issues of both classic and modern topics, it also provides a unique commemoration to the centennial of the birth of Boris Gnedenko, one of the most prominent reliability scientists of the twentieth century. Key features include: expert treatment of probabilistic models and statistical

Secondary Analysis of Electronic Health Records

Secondary Analysis of Electronic Health Records
  • Author : MIT Critical Data
  • Publisher : Springer
  • Release : 09 September 2016
GET THIS BOOKSecondary Analysis of Electronic Health Records

This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on

Limit Order Books

Limit Order Books
  • Author : Frédéric Abergel,Marouane Anane,Anirban Chakraborti,Aymen Jedidi,Ioane Muni Toke
  • Publisher : Cambridge University Press
  • Release : 09 May 2016
GET THIS BOOKLimit Order Books

This text presents different models of limit order books and introduces a flexible open-source library, useful to those studying trading strategies.