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Introduction to Bayesian Statistics

with chapter exercises. Introduction to Bayesian Statistics, Third Edition also features: * Topics including the Joint Likelihood function and;

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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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Elementary Bayesian Statistics

Elementary Bayesian Statistics is a thorough and easily accessible introduction to the theory and practical application of Bayesian;

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The Bayesian Choice

This is an introduction to Bayesian statistics and decision theory, including advanced topics such as Monte Carlo methods. This new edition;

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The Bayesian Way: Introductory Statistics for Economists and Engineers

A comprehensive resource that offers an introduction to statistics with a Bayesian angle, for students of professional disciplines like;

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Statistical Computing in Nuclear Imaging

Statistical Computing in Nuclear Imaging introduces aspects of Bayesian computing in nuclear imaging. The book provides an introduction to;

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Statistical Computing in Nuclear Imaging

Statistical Computing in Nuclear Imaging introduces aspects of Bayesian computing in nuclear imaging. The book provides an introduction to;

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Introduction to Bayesian Estimation and Copula Models of Dependence

Presents an introduction to Bayesian statistics, presents an emphasis on Bayesian methods (prior and posterior), Bayes estimation;

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Bayesian Statistics for Experimental Scientists

This book offers an introduction to the Bayesian approach to statistical inference, with a focus on nonparametric and distribution-free;

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Bayesian Statistics An Introduction 4th

Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs;

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Understanding Computational Bayesian Statistics

A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely;

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Computational Bayesian Statistics

text are the extensive discussion of available software packages combined with a brief but complete and mathematically rigorous introduction to;

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Computational Bayesian Statistics

text are the extensive discussion of available software packages combined with a brief but complete and mathematically rigorous introduction to;

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Mathematical Theory of Bayesian Statistics

Mathematical Theory of Bayesian Statistics introduces the mathematical foundation of Bayesian inference which is well-known to be more;

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Mathematical Theory of Bayesian Statistics

Mathematical Theory of Bayesian Statistics introduces the mathematical foundation of Bayesian inference which is well-known to be more;

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Bayesian Networks An Introduction

Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic;

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Spatial & Spatio Temporal Bayesian

combination of Bayesian methodology and spatial statistics. The authors combine an introduction to Bayesian theory and methodology with a focus on the;

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A Student's Guide to Bayesian Statistics

Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide;

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Bayesian Statistics and Marketing

problems, from new product introduction to pricing, and with a wide variety of different data sources. Bayesian Statistics and Marketing describes;

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Modern Bayesian Statistics in Clinical Research

The current textbook has been written as a help to medical / health professionals and students for the study of modern Bayesian statistics;

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Statistics for Astrophysics

This book contains statistics courses on basic to advanced methods with practical exercises using the R environment, by leading experts;

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Biostatistics

biomedical statistics-from diagnostic tests to DNA evidence. Biostatistics: A Bayesian Introduction offers a pioneering approach by presenting the;

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Bayesian Statistics for the Social Sciences

practical skills they need to apply Bayesian methodologies to their data analysis problems. Part I addresses the elements of Bayesian inference;

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Case Studies in Bayesian Statistical Modelling and Analysis

Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian;

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Principles of Uncertainty

presents an introduction to the subjective Bayesian approach which has played a pivotal role in game theory, economics, and the recent boom;

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Rethinking the Foundations of Statistics

and then tracing out some of the consequences of this turn for Bayesian statistics. The volume will be particularly valuable to philosophers;

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Bayesian Analysis For Social Sciences

subjective qualities of Bayesian methodology. This book provides an accessible introduction to Bayesian methods, tailored specifically for social;

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