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A number of methodologies have been employed to provide decision making solutions globalized markets. Hidden Markov Models in Finance;
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This book discusses mixture and hidden Markov models for modeling behavioral data. Mixture and hidden Markov models are statistical models;
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portfolios, finance has been one of the most important areas of application of operations research. The use of hidden Markov models (HMMs) has become;
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models, regime-switching and hidden Markov models, continuous- or discrete-time state processes, and models of equally-spaced or irregularly;
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models, regime-switching and hidden Markov models, continuous- or discrete-time state processes, and models of equally-spaced or irregularly;
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Inference for Hidden Markov Models and related Models is een boek van Cuvillier Verlag;
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Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models;
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Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models;
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This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. Topics;
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This new edition of Markov Chains: Models, Algorithms and Applications has been completely reformatted as a text, complete with end;
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This book presents, in an integrated form, both the analysis and synthesis of three different types of hidden Markov models. Unlike other;
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This book presents, in an integrated form, both the analysis and synthesis of three different types of hidden Markov models. Unlike other;
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Markov chains and hidden Markov chains have applications in many areas of engineering and genomics. This book provides a basic introduction;
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. Supporting the discussion of the theoretical foundations of Markov modeling, special emphasis is also placed on practical algorithmic solutions;
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This well-written book provides a clear and accessible treatment of the theory of discrete and continuous-time Markov chains, with an;
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developed which are specifically designed for the analysis of discrete-valued time series. Hidden Markov and Other Models for Discrete-Valued Time;
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This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems;
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models, such as point processes, Markov random fields and hidden Markov models in a clear, thoughtful and succinct manner. The distinguishing;
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models, such as point processes, Markov random fields and hidden Markov models in a clear, thoughtful and succinct manner. The distinguishing;
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Transition (ESTAR) models, and Markov Switching (MS) models, among several others. This edited volume provides a timely overview of nonlinear;
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>Hidden Markov Models for Time Series: An Introduction Using R applies hidden Markov models (HMMs) to a wide range of time series types;
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Demonstrating that many useful resources, such as databases, can benefit most bioinformatics projects, the Handbook of Hidden Markov Models;
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Demonstrating that many useful resources, such as databases, can benefit most bioinformatics projects, the Handbook of Hidden Markov Models;
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, hidden Markov models, human silhouette shapes, latent Dirichlet allocation, local binary patterns, locality preserving projection, and Markov;
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Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and;
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Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and;
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Hidden semi-Markov models (HSMMs) are among the most important models in the area of artificial intelligence / machine learning. Since;
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