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Neuronal Ensemble Modeling and Analysis with Variable Order Markov Models

obtained with these methods come (i) from Ventrobasal ThalamicNuclei (VB) and Somatosensory Cortex (SSI) in Chronic Pain Animals (CPAs), (ii) from;

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Latent Variable Models and Factor Analysis

Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling;

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Modeling for Reliability Analysis

Markov modeling has long been accepted as a fundamental and powerful technique for the fault tolerance analysis of mission-critical;

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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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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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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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Stochastic Modeling for Medical Image Analysis

of important and challenging CAD problems. The models focus on the first-order marginals of pixel/voxel-wise signals and second- or higher-order Markov;

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Earthquake Statistical Analysis through Multi-state Modeling

means of hidden (semi-)Markov models and discuss associated characteristic measures and relative estimation aspects. Further comparisons, 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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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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Computational Neurogenetic Modeling

). CNGM is concerned with the study and development of dynamic neuronal models for modeling brain functions with respect to genes and dynamic;

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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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Semi-Markov Models

Featuring previously unpublished results, Semi-Markov Models: Control of Restorable Systems with Latent Failures describes;

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Latent Variable and Latent Structure Models

-group analysis, and model testing. New methodological topics are illustrated with real applications. The material presented brings together two;

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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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Dependability of Networked Computer based Systems

and researchers with a detailed overview of dependability models and analysis techniques. Practicing engineers will also find this text a;

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Latent Variable Models

Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces latent variable models by utilizing;

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Latent Variable Models

Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces latent variable models by utilizing;

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Latent Variable and Latent Structure Models

-group analysis, and model testing. New methodological topics are illustrated with real applications. The material presented brings together two;

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Performance Modeling of Communication Networks with Markov Chains

This book is an introduction to Markov chain modeling with applications to communication networks. It begins with a general introduction to;

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In Vitro Neuronal Networks

activity, and recent improvements in large-scale data analysis. The book ends with a series of case studies examining potential applications;

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Stochastic Modeling and Analysis of Telecom Networks

as Markov processes, real and spatial point processes and stochastic recursions, and presenting a wide list of results on stability;

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Current Topics in the Theory and Application of Latent Variable Models

analysis, and latent curve modeling, as well as various non-standard data structures and innovative applications. The book is divided into two;

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Current Topics in the Theory and Application of Latent Variable Models

analysis, and latent curve modeling, as well as various non-standard data structures and innovative applications. The book is divided into two;

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Fractional Operators with Constant and Variable Order with Application to Geo-hydrology

Fractional Operators with Constant and Variable Order with Application to Geo-hydrology provides a physical review of fractional;

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Neuronal Dynamics

, the dynamics of both neuronal populations and cognition are considered. The aim of this book is to give an introduction to the mathematical;

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