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Introduction to Hierarchical Bayesian Modeling for Ecological Data

Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian;

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Introduction to Hierarchical Bayesian Modeling for Ecological Data

Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian;

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Bayesian Models

how to write out properly formulated hierarchical Bayesian models and use them in computing, research papers, and proposals. This primer;

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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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Bayesian Analysis with Python

Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ Key Features A step-by-step guide to conduct Bayesian;

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Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

This book outlines Bayesian statistical analysis in great detail, from the development of a model through the process of making statistical;

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Hierarchical Modeling and Inference in Ecology

A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods;

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Bayesian Models for Astrophysical Data

range of Bayesian generalized linear and mixed or hierarchical models, as well as additional types of models such as ABC and INLA. The book;

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Practical Applications of Bayesian Reliability

; discuss Bayesian Hierarchical Models and their applications; present linear and logistic regression models in Bayesian Perspective; and more;

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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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Visual Analysis of Behaviour

. Topics: covers learning-group activity models, unsupervised behaviour profiling, hierarchical behaviour discovery, learning behavioural context;

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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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Modeling Evolution of Upper Arm Circumference of Infant's

, epidemiology, and other studies in humans. For example, hierarchical models are becoming evermore frequently. Such hierarchical models are standard;

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BAYESIAN INFERENCE

and outliers; hierarchical, multivariate and non-parametric models; asymptotics; computations and Monte Carlo methods; and Bayesian;

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Bayesian Model Comparison

issues include parallel computation, Hamiltonian Monte Carlo, dynamic model selection, small sample comparison of structural models, Bayesian;

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Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS

Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS, Volume Two: Dynamic and;

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Bayesian Econometric Methods

Bayesian Econometric Methods examines principles of Bayesian inference by posing a series of theoretical and applied questions and;

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Bayesian Econometric Methods

Bayesian Econometric Methods examines principles of Bayesian inference by posing a series of theoretical and applied questions and;

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Bayesian Analysis with Python

Unleash the power and flexibility of the Bayesian framework About This Book * Simplify the Bayes process for solving complex;

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Bayesian Modeling Using WinBUGS

topics, including: Markov Chain Monte Carlo algorithms in Bayesian inference Generalized linear models Bayesian hierarchical models Predictive;

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Hierarchical Bayesian Method in the Study of Individual Level Behavior

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Data Analysis Using Hierarchical Generalized Linear Models with R

Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects;

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Data Analysis Using Hierarchical Generalized Linear Models with R

Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects;

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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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Statistical Inference

A Balanced Treatment of Bayesian and Frequentist Inference Statistical Inference: An Integrated Approach, Second Edition presents an;

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