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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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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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Inference in Hidden Markov Models

This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. Topics;

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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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Hidden Markov Models

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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Hidden Markov Models

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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Introduction to Hidden Semi-Markov Models

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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Hidden Markov and Other Models for Discrete-Valued Time Series

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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Hidden Markov Models In Finance

A number of methodologies have been employed to provide decision making solutions globalized markets. Hidden Markov Models in Finance;

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Markov Chains

This new edition of Markov Chains: Models, Algorithms and Applications has been completely reformatted as a text, complete with end;

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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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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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Hidden Markov Processes

This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems;

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Stochastic Modeling of Scientific Data

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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Stochastic Modeling of Scientific Data

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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Visual Analysis of Behaviour

, hidden Markov models, human silhouette shapes, latent Dirichlet allocation, local binary patterns, locality preserving projection, and Markov;

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Hidden Markov Models for Time Series

>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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Handbook of Hidden Markov Models in Bioinformatics

Demonstrating that many useful resources, such as databases, can benefit most bioinformatics projects, the Handbook of Hidden Markov Models;

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Handbook of Hidden Markov Models in Bioinformatics

Demonstrating that many useful resources, such as databases, can benefit most bioinformatics projects, the Handbook of Hidden Markov Models;

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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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State-Space Models

models, regime-switching and hidden Markov models, continuous- or discrete-time state processes, and models of equally-spaced or irregularly;

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State-Space Models

models, regime-switching and hidden Markov models, continuous- or discrete-time state processes, and models of equally-spaced or irregularly;

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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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Hidden Markov Models in Finance

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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Sequential Change Detection and Hypothesis Testing

, including in modern, complex information systems and networks. These extensions are illustrated using Markov, hidden Markov, state-space, regression;

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Sequential Change Detection and Hypothesis Testing

, including in modern, complex information systems and networks. These extensions are illustrated using Markov, hidden Markov, state-space, regression;

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