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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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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 Disease Mapping

Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the;

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Bayesian Disease Mapping

Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the;

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

approach to ecological research, thus taking the reader from design, through data collection, and into analyses using a very powerful way;

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Models for Ecological Data

. In Models for Ecological Data, James Clark introduces ecologists to these modern methods in modeling and computation. Assuming only basic courses;

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Bayesian Methods For Data Analysis

Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the;

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Statistical Computation for Environmental Sciences in R

. In Models for Ecological Data, James Clark introduces ecologists to these modern methods in modeling and computation. Assuming only basic courses;

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Bayesian Models

Bayesian modeling has become an indispensable tool for ecological research because it is uniquely suited to deal with complexity in a;

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Bayesian Modeling Using WinBUGS

A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible;

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Bayesian Disease Mapping

Focusing on data commonly found in public health databases and clinical settings, Bayesian Disease Mapping: Hierarchical Modeling;

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Bayesian Analysis with Python

data analyses using PyMC3 and ArviZ A modern, practical and computational approach to Bayesian statistical modeling A tutorial for Bayesian;

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Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

Overview of Bayesian methods and Bayesian hierarchical modeling as applied to spatial data Bayesian Computation and goodness-of-fit;

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Probability and Bayesian Modeling

Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus;

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Bayesian Hierarchical Models

of applied Bayesian hierarchical modelling Includes many real data examples to illustrate different modelling topics;

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Bayesian Hierarchical Models

Bayesian hierarchical modelling Includes many real data examples to illustrate different modelling topics R code (based on rjags;

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Bayesian Models for Astrophysical Data

consistent focus is on hands-on modeling, analysis of data, and interpretation to address scientific questions. A must-have for astronomers, the;

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Bayesian Item Response Modeling

motives for writing this book is to give an introduction to the Bayesian methodology for modeling and analyzing item response data. A Bayesian;

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R for Marketing Research and Analytics

This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a;

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Bayesian Model Comparison

implementation of parameter and non-parameter-based approaches to variable selection, a survey of key results in objective Bayesian model selection;

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Bayesian Modeling in Bioinformatics

error and survival models for cDNA microarrays, a Bayesian hidden Markov modeling approach for CGH array data, Bayesian approaches for;

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Bayesian Modeling in Bioinformatics

error and survival models for cDNA microarrays, a Bayesian hidden Markov modeling approach for CGH array data, Bayesian approaches for;

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Models Of The Ecological Hierarchy

In the application of statistics to ecological inference problems, hierarchical models combine explicit models of ecological system;

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Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS

of hierarchical models for plant and animal distribution, abundance, and community characteristics such as species richness using data collected;

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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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