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Hierarchical Bayesian Method in the Study of Individual Level Behavior

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Modeling Multilevel Data in Traffic Safety

calibrate the proposed hierarchical models. Two Bayesian measures, viz. the Deviance Information Criterion and Cross-Validation Predictive Densities;

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Bayesian Methods in Health Economics

of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it;

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Bayesian Methods in Health Economics

of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it;

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Bayesian Hierarchical Models

An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian;

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Bayesian Hierarchical Models

An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian;

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Probability and Bayesian Modeling

, Bayesian inference is described for hierarchical and regression models including logistic regression. The book presents several case studies;

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Bayesian Methods For Data Analysis

hierarchical Bayesian modeling as implemented via Markov chain Monte Carlo (MCMC) methods and related data analytic techniques. New to the Third;

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Development of Two Hybrid Classification Methods for Machine Learning

In this work two studies are done and they are referred as first study which is named "A Hybrid Classification Method Using Bayesian, K;

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Introduction to Hierarchical Bayesian Modeling for Ecological Data

with Bayesian thinking, considering hierarchical models within the Bayesian setting offers a unified and coherent framework for modeling;

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Introduction to Hierarchical Bayesian Modeling for Ecological Data

with Bayesian thinking, considering hierarchical models within the Bayesian setting offers a unified and coherent framework for modeling;

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Bayesian Models

statistically coherent way. This textbook provides a comprehensive and accessible introduction to the latest Bayesian methods--in language ecologists;

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Modeling Evolution of Upper Arm Circumference of Infant's

in the analysis of longitudinal data, too to account the correlation steaming from the repeated measures nature. This study will be dedicated to;

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Joint Models of Neural and Behavioral Data

of this Bayesian model with a variety of applications, and feature a tutorial chapter where the methods can be applied to an example problem. The;

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Bayesian Disease Mapping

in Spatial Epidemiology provides an overview of the main areas of Bayesian hierarchical modeling and its application to the geographical analysis;

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Statistical Decision Theory and Bayesian Analysis

In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics;

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Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

problems, and the Bayesian paradigm has a major role to play in the understanding of the complex interplay of context and individual predisposition;

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Hierarchical Data in RDBMS

level and the nodes on the path from a node to one of its descendants. Some areas where hierarchical data needs to be stored and processed;

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Theory of Point Estimation

style of the first edition. All of the topics are updated, while an entirely new chapter on Bayesian and hierarchical Bayesian approaches;

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Hierarchical Modeling and Inference in Ecology

in ecological modeling and unifies disparate methods and procedures.The authors apply principles of hierarchical modeling to ecological problems;

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Biostatistics

An essential introductory text linking traditional biostatistics with bayesian methods In recent years, Bayesian methods have seen an;

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Bayesian Methods

An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social Scientists Now that Bayesian modeling has;

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Understanding Computational Bayesian Statistics

covering the topics from a Bayesian perspective, Understanding Computational Bayesian Statistics successfully guides readers through this new;

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Bayesian Analysis of Demand Under Block Rate Pricing

structure fits well in Bayesian methodology. Thus, the book takes the Bayesian approach and develops the Markov chain Monte Carlo method to conduct;

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Statistical Inference

Bayesian and frequentist schools of thought and explores procedures that lie on the border between the two. Many examples illustrate the methods;

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Brain Computation as Hierarchical Abstraction

hierarchical organization of the brain has many parallels with the hierarchical organization of computing; as in silicon computing, the complexities;

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An Introduction to Bayesian Analysis

This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory, methods, and applications. Starting from basic;

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