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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 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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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 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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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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Handbook of Discrete-Valued Time Series

series of counts and incorporates frequentist and Bayesian approaches for discrete-valued spatio-temporal data and multivariate data. While the;

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Handbook of Discrete-Valued Time Series

series of counts and incorporates frequentist and Bayesian approaches for discrete-valued spatio-temporal data and multivariate data. While the;

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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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An Introduction to Discrete-Valued Time Series

presentation of theory and practice, exploring both categorical and integer-valued seriesCovers common models for time series of counts as well as for;

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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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Markov Chains

. The chapter then covers the basic theories and algorithms for hidden Markov models (HMMs) and Markov decision processes (MDPs). Chapter 2;

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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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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 Discrete-Time Queues

This book introduces the theoretical fundamentals for modeling queues in discrete-time, and the basic procedures for developing queuing;

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Applied Discrete-Time Queues

This book introduces the theoretical fundamentals for modeling queues in discrete-time, and the basic procedures for developing queuing;

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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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Option Pricing and Estimation of Financial Models with R

Presents inference and simulation of stochastic process in the field of model calibration for financial times series modelled by continuous;

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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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Markov Models for Pattern Recognition

configuration of hidden Markov models for specific application areas; describes important methods for efficient processing of Markov models, and 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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Hidden Semi-Markov Models

the first HSMM was introduced in 1980 for machine recognition of speech, three other HSMMs have been proposed, with various definitions;

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Financial Econometrics

the following key themes: - unit roots, cointegration and other developments in the study of time series models - time varying;

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Financial Econometrics

the following key themes: - unit roots, cointegration and other developments in the study of time series models - time varying;

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