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Semi-Markov Processes

Semi-Markov Processes: Applications in System Reliability and Maintenance is a modern view of discrete state space and continuous time;

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Introduction to Hidden Semi-Markov Models

undergraduates and graduates. The authors then introduce semi-Markov chains and hidden semi-Markov chains, before developing related estimation and;

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Statistical Topics and Stochastic Models for Dependent Data with Applications

corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this book are Markov, semi-Markov;

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Semi-Markov Models

Featuring previously unpublished results, Semi-Markov Models: Control of Restorable Systems with Latent Failures describes;

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Introduction to Stochastic Models

as physics, engineering, biology and genetics, economics and social sciences. It covers Markov and semi-Markov models, as well as their;

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Hidden Semi-Markov Models

Hidden semi-Markov models (HSMMs) are among the most important models in the area of artificial intelligence / machine learning. Since;

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Asymptotic Analyses for Complex Evolutionary Systems with Markov and Semi-Markov Switching Using Approximation Schemes

This book analyzes stochastic evolutionary models under the impulse of diffusion, as well as Markov and semi-Markov switches. Models are;

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Random Motions in Markov and SemiMarkov Random Environments 2

This book is the second of two volumes on random motions in Markov and semi-Markov random environments. This second volume focuses on high;

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Markov Renewal and Piecewise Deterministic Processes

deterministic functions of CSMPs (Completed Semi-Markov Processes), i.e. semi-Markov processes completed to become Markov processes. This remark leads;

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Demography and Health Issues

book describes diverse stochastic processes as well as Markov and semi-Markov models in demography and population studies, along with chapters;

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Modeling, Analysis, Design and Control of Stochastic Systems

, cumulative processes and semi-Markov processes. All the material is illustrated with many examples, and the book emphasises numerical answers to the;

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Switching Processes in Queueing Models

models which covers models in a Markov or semi-Markov environment, models under the influence of flows of external or internal perturbations;

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New Computational Methods in Power System Reliability

simulation and with random processes methods, Semi-Markov and Markov reward models and genetic algorithm. The book can be considered as complementary;

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New Computational Methods in Power System Reliability

simulation and with random processes methods, Semi-Markov and Markov reward models and genetic algorithm. The book can be considered as complementary;

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Semi-Dirichlet Forms and Markov Processes

wide class of Markov processes and analytic theory which do not possess the dual Markov processes. In particular, under the semi-Dirichlet form;

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Hidden Markov Models for Time Series

HMMs for longitudinal data, hidden semi-Markov models and models with continuous-valued state process New case studies on animal;

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Hidden 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;

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Statistical Methods and Modeling of Seismogenesis

techniques, change point detection techniques on seismicity models, and, finally, semi-Markov models for earthquake forecasting.;

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Markov Models for Pattern Recognition

. Supporting the discussion of the theoretical foundations of Markov modeling, special emphasis is also placed on practical algorithmic solutions;

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Inference for Hidden Markov Models and related Models

Inference for Hidden Markov Models and related Models is een boek van Cuvillier Verlag;

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Applied Diffusion Processes from Engineering to Finance

to the different problems presented in the book. Advanced topics such as nonlinear problems, Levy processes and semi-Markov models;

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Stochastic Systems In Merging Phase Space

integral functionals, increment processes and impulsive processes. All these systems are switched by Markov and semi-Markov processes whose phase;

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Markov Chains and Decision Processes for Engineers and Managers

Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and;

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Markov Chains and Decision Processes for Engineers and Managers

Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and;

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Basic Stochastic Processes

This book presents basic stochastic processes, stochastic calculus including Levy processes on one hand, and Markov and Semi Markov models;

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Mixture and Hidden Markov Models with R

This book discusses mixture and hidden Markov models for modeling behavioral data. Mixture and hidden Markov models are statistical models;

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Latent Markov Models for Longitudinal Data

Drawing on the authors' extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data;

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