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Case Studies in Bayesian Statistical Modelling and Analysis

in the implementation of these approaches. Case Studies in Bayesian Statistical Modelling and Analysis: * Illustrates how to do Bayesian analysis;

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Bayesian Approach To Intrepreting Archaeological Data

and statistical modelling within the Bayesian framework, a variety of real case studies are presented covering areas of common interest to;

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Applied Bayesian Modelling

is the follow-up to the author's best selling book, Bayesian Statistical Modelling, and focuses on the potential applications of Bayesian;

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Modeling in Medical Decision Making

amounts of data. In parallel, advances in computing have led to a host of new and powerful statistical tools to support decision making;

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Bayesian Networks

, the book has much to offer both practitioners and researchers involved in statistical analysis or modelling in any of these fields.;

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Statistics of Extremes

Research in the statistical analysis of extreme values has flourished over the past decade: new probability models, inference and data;

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Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists

introduces the key concepts of statistical analysis and inference with an accessible, easy-to-follow approach. The book provides case studies;

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Multivariate Statistical Modelling Based on Generalized Linear Models

in statistics and data analysis. This second edition is extensively revised, especially those sections relating with Bayesian concepts.;

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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 Analysis with R for Drug Development

, Bayesian Analysis with R for Drug Development: Concepts, Algorithms, and Case Studies, describes a wide range of Bayesian applications to problems;

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Bayesian Analysis with R for Drug Development

, Bayesian Analysis with R for Drug Development: Concepts, Algorithms, and Case Studies, describes a wide range of Bayesian applications to problems;

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Bayesian Analysis of Stochastic Process Models

, computational, inference, forecasting, decision making and important applied models. Key features: * Explores Bayesian analysis of models based on;

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Bayesian Methods in Health Economics

statistical viewpoint, and Bayesian computation, notably MCMC. The final chapter presents three detailed case studies covering cost-effectiveness;

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Bayesian Methods in Health Economics

statistical viewpoint, and Bayesian computation, notably MCMC. The final chapter presents three detailed case studies covering cost-effectiveness;

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Survival Analysis with Interval-Censored Data

data. He has gained expertise in a great variety of statistical topics with a focus on the design and analysis of clinical trials;

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Survival Analysis with Interval-Censored Data

has gained expertise in a great variety of statistical topics with a focus on the design and analysis of clinical trials. Arnost Komarek;

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Bayesian Statistical Modelling

first edition, this reworked and updated book provides an accessible approach to Bayesian computing and analysis, with an emphasis on the;

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Bayesian Methods for Nonlinear Classification and Regression

Classification and Regression is the first book to bring together, in a consistent statistical framework, the ideas of nonlinear modelling and Bayesian;

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Bayesian Modeling in Bioinformatics

Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high;

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Bayesian Modeling in Bioinformatics

Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high;

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Bayesian Hierarchical Models

collections. Through illustrative data analysis and attention to statistical computing, this book facilitates practical implementation of Bayesian;

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Bayesian Hierarchical Models

collections. Through illustrative data analysis and attention to statistical computing, this book facilitates practical implementation of Bayesian;

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Statistical Modelling and Analysis Techniques

multivariate data analysis, data mining, inference for statistical models, sampling methods and reliability studies. An article dedicated to Professor;

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Bayesian Analysis of Gene Expression Data

featuring datasets, exercises and solutions. Bayesian Analysis of Gene Expression Data offers a unique introduction to both Bayesian analysis and;

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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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Bayesian Statistical Methods

Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis;

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