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Bayesian Methods for Management and Business

Management and Business: Pragmatic Solutions for Real Problems demonstrates how Bayesian statistics can help to provide insights into important;

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Bayesian Methods in Finance

, the authors focus on portfolio management and market risk management-since these are the areas in finance where Bayesian methods have had the;

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Bayesian Methods in Pharmaceutical Research

covers: Theory, methods, applications, and computing Bayesian biostatistics for clinical innovative designs;

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Bayesian Theory and Methods with Applications

Bayesian methods are growing more and more popular, finding new practical applications in the fields of health sciences, engineering;

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Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists

treatment of real-world examples, Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists successfully;

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Probabilistic Methods for Financial and Marketing Informatics

Probabilistic Methods for Financial and Marketing Informatics aims to provide students with insights and a guide explaining how to;

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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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Computational Bayesian Statistics

of Bayesian software - R/R-INLA, OpenBUGS, JAGS, STAN, and BayesX - makes it useful also for researchers and graduate students from beyond statistics.;

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Computational Bayesian Statistics

of Bayesian software - R/R-INLA, OpenBUGS, JAGS, STAN, and BayesX - makes it useful also for researchers and graduate students from beyond statistics.;

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Growth Curves

experiments, covering time-moving covariates, exchangable errors, bioassay results, missing data procedures and nonparametric and Bayesian methods.;

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Introduction to Bayesian Estimation and Copula Models of Dependence

, prediction, MCMC,Bayesian regression, and Bayesian analysis of statistical modelsof dependence, and features a focus on copulas for risk management;

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Methods and Applications of Statistics in Business, Finance, and Management Science

classicmethodology and new topics, including: * Analytical methods for risk management * Statistical modeling for online auctions * Ranking and selection;

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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 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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Bayesian Analysis of Gene Expression Data

The field of high-throughput genetic experimentation is evolving rapidly, with the advent of new technologies and new venues for data;

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Bayesian Methods for Finite Population Sampling

to a full-fledged Bayesian model. Intended primarily for graduate students and researchers in finite population sampling, this book will also;

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Bayesian Models for Categorical Data

, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to;

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Bayesian Analysis with Stata

WinBUGS for computation, allowing Stata's data management and graphing capability to be used with OpenBUGS/WinBUGS speed and reliability. The;

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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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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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Bayesian Analysis of Time Series

Bayesian methods for use in medical and biological problems and in authoring textbooks in statistics. His previous books for Chapman & Hall/CRC;

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Bayesian Analysis of Time Series

main interest is in developing Bayesian methods for use in medical and biological problems and in authoring textbooks in statistics. His;

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An Introduction to Bayesian Inference, Methods and Computation

and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods;

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Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems

networks and methods as a probabilistic formalism for the management of the learner model in adaptive hypermedia. It specifically discusses;

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