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Bayesian Methods for Ecology

software is available as well as an accompanying web-site containing the data files and WinBUGS codes. Bayesian Methods for Ecology will appeal to;

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Bayesian Analysis for Population Ecology

averaging, Bayesian Analysis for Population Ecology presents up-to-date methods for analysing complex ecological data. Leaders in the statistical;

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Bayesian Analysis for Population Ecology

, Bayesian Analysis for Population Ecology presents up-to-date methods for analysing complex ecological data. Leaders in the statistical ecology;

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Likelihood Methods in Biology and Ecology

in statistical theory and applications and discusses it in the context of biology and ecology. Bayesian and frequentist methods both use the likelihood;

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Likelihood Methods in Biology and Ecology

in statistical theory and applications and discusses it in the context of biology and ecology. Bayesian and frequentist methods both use the likelihood;

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Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods;

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Bayesian Inference

from ecology and wildlife researchAn essential grounding for graduate and research ecologists in the increasingly prevalent Bayesian;

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Handbook of Bayesian Variable Selection

of Bayesian methods for variable selection. It also provides a valuable reference for all interested in applying existing methods and/or pursuing;

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Bayesian Methods in Pharmaceutical Research

industry, with a view to setting up a common strategy for the appropriate use of Bayesian statistics for the benefit of patients. The book;

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Biostatistics

versatile SAS and WinBUGS software packages as well as the Excel spreadsheet program. For professionals and students, Biostatistics: A Bayesian;

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Computational Bayesian Statistics

a textbook for a first graduate-level course in Bayesian computation with a focus on Monte Carlo methods. The extensive discussion;

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Computational Bayesian Statistics

a textbook for a first graduate-level course in Bayesian computation with a focus on Monte Carlo methods. The extensive discussion;

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Capture-Recapture Methods for the Social and Medical Sciences

Capture-recapture methods have been used in biology and ecology for more than 100 years. However, it is only recently that these methods;

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Capture-Recapture Methods for the Social and Medical Sciences

Capture-recapture methods have been used in biology and ecology for more than 100 years. However, it is only recently that these methods;

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Bayesian Methods for Measures of Agreement

Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents;

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Bayesian Methods for Measures of Agreement

Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents;

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Bayesian Analysis of Gene Expression Data

exclusively to Bayesian methods of analysis for applications to high-throughput gene expression data, exploring the relevant methods that are changing;

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Bayesian Methods for Finite Population Sampling

Assuming a basic knowledge of the frequentist approach to finite population sampling, Bayesian Methods for Finite Population Sampling;

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Bayesian Biostatistics and Diagnostic Medicine

sample sizes. With many tables and figures, this book enables readers to conduct a Bayesian analysis for a large variety of interesting and;

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Bayesian Biostatistics and Diagnostic Medicine

sample sizes. With many tables and figures, this book enables readers to conduct a Bayesian analysis for a large variety of interesting and;

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Essential Bayesian Models

of Statistics Series, with a focus on key methodologies and applications for Bayesian models and computation. It describes parametric and nonparametric;

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Introduction to Bayesian Statistics

statistical topics, such as scientific data gathering, discrete random variables, robust Bayesian methods, and Bayesian approaches to inference for;

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Bayesian Models for Categorical Data

The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology;

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Bayesian Analysis Made Simple

Although the popularity of the Bayesian approach to statistics has been growing for years, many still think of it as somewhat esoteric, not;

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Bayesian Analysis Made Simple

Although the popularity of the Bayesian approach to statistics has been growing for years, many still think of it as somewhat esoteric, not;

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Probabilistic Methods for Bioinformatics

The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability;

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An Introduction to Bayesian Inference, Methods and Computation

These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy;

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