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A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible;
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Focusing on data commonly found in public health databases and clinical settings, Bayesian Disease Mapping: Hierarchical Modeling;
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Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists using the highly acclaimed, free WinBUGS software;
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analysis, item response theory, latent class analysis, and Bayesian networks. Throughout the book, procedures are illustrated using examples;
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using Bayesian methods and why many of the activities in psychometrics align with Bayesian thinking. The first part of the book;
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Bayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade. The free software program;
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authors gradually present the concepts and techniques of the Bayesian paradigm from a practical point of view using real case studies. They;
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authors gradually present the concepts and techniques of the Bayesian paradigm from a practical point of view using real case studies. They;
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Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology;
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Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology;
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implement the methods using WinBUGS - the most-widely used Bayesian analysis software in the world - and R - an open-source statistical software;
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sides on the classical vs. Bayesian approach, and many examples in this book are solved using both methods. The results are then compared and;
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Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents;
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Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents;
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Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the;
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Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and;
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presents Bayesian statistics using accessible mathematics. The next chapters describe the theory and practice of cost-effectiveness analysis from a;
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presents Bayesian statistics using accessible mathematics. The next chapters describe the theory and practice of cost-effectiveness analysis from a;
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Analyze Repeated Measures Studies Using Bayesian Techniques Going beyond standard non-Bayesian books, Bayesian Methods for Repeated;
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Analyze Repeated Measures Studies Using Bayesian Techniques Going beyond standard non-Bayesian books, Bayesian Methods for Repeated;
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The interest in using Bayesian methods in ecology is increasing, however many ecologists have difficulty with conducting the required;
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In many branches of science relevant observations are taken sequentially over time. Bayesian Analysis of Time Series discusses how to use;
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In many branches of science relevant observations are taken sequentially over time. Bayesian Analysis of Time Series discusses how to use;
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Bayesian Analysis with Stata is written for anyone interested in applying Bayesian methods to real data easily. The book shows how modern;
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Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary;
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on Bayesian analysis. Like its predecessor, this edition presents the theoretical background of generalized linear models (GLMs) before;
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The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling;
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