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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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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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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 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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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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Introduction to Hidden Semi-Markov Models

to the subject by first developing the theory of Markov processes in an elementary discrete time, finite state framework suitable for senior;

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State-Space Models

theoretical developments of the models and their applications in economics and finance. The book includes nonlinear and non-Gaussian time series;

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State-Space Models

theoretical developments of the models and their applications in economics and finance. The book includes nonlinear and non-Gaussian time series;

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Markov Chains

highlighted. Some classical iterative methods for solving linear systems will be introduced for finding the stationary distribution of a Markov chain;

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Markov Models for Pattern Recognition

. Features: introduces the formal framework for Markov models; covers the robust handling of probability quantities; presents methods for the;

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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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The Synoptic Problem and Statistics

. Explore Hidden Markov Models for Textual Data The book provides an introductory account of the synoptic problem and relevant theories;

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The Synoptic Problem and Statistics

. Explore Hidden Markov Models for Textual Data The book provides an introductory account of the synoptic problem and relevant theories;

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Hidden Markov Models

behind hidden Markov models using MATLAB (R). This approach, by means of analysis followed by synthesis, is suitable for those who want to study;

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Hidden Markov Models

behind hidden Markov models using MATLAB (R). This approach, by means of analysis followed by synthesis, is suitable for those who want to study;

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Visual Analysis of Behaviour

connecting-the-dots for abnormal behaviour detection; discusses Bayesian information criterion, Bayesian networks, bag-of-words representation;

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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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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 Processes

, such as ergodicity of Markov processes, Markov Chain Monte Carlo (MCMC), information theory, and large deviation theory for both i.i.d and;

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Copula Based Markov Models for Time Series

This book provides statistical methodologies for time series data, focusing on copula-based Markov chain models for serially correlated;

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Stochastic Modeling of Scientific Data

are either analyzed in the text or used as exercises. Markov chain Monte Carlo methods are introduced for evaluating likelihoods;

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Stochastic Modeling of Scientific Data

are either analyzed in the text or used as exercises. Markov chain Monte Carlo methods are introduced for evaluating likelihoods;

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Markov Processes and Applications

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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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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Recent Advances in Estimating Nonlinear Models

number of series exhibit nonlinear dynamics as opposed to the alternative--linear dynamics. Incorporating these concepts involves deriving and;

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