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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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Bayesian Statistics for the Social Sciences

Bridging the gap between traditional classical statistics and a Bayesian approach, David Kaplan provides readers with the concepts and;

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Elements of Bayesian Statistics

The ingratiating title notwithstanding, this is in no standard sense a text but a monograph, based l;...

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Elements of Bayesian Statistics

The ingratiating title notwithstanding, this is in no standard sense a text but a monograph, based l;...

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Introduction to Bayesian Statistics

...this edition is useful and effective in teaching Bayesian inference at both elementary and intermediate levels. It is a well-written;

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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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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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Rethinking the Foundations of Statistics

This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic;

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Statistics for Astrophysics

in their field. This covers the foundations of Bayesian inference, Markov chain Monte Carlo technique, model building, Approximate Bayesian;

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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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A Student's Guide to Bayesian Statistics

approachable instruction perfectly aimed at statistics and Bayesian newcomers.;

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Bayesian Methods in Statistics

This book gets you up and running with doing complex Bayesian statistics, focussing on applied analysis rather than maths.;

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Bayesian Methods in Statistics

This book gets you up and running with doing complex Bayesian statistics, focussing on applied analysis rather than maths.;

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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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Bayesian Biostatistics

methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian;

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Bayesian Methods for Management and Business

HIGHLIGHTS THE USE OF BAYESIAN STATISTICS TO GAIN INSIGHTS FROM EMPIRICAL DATA Featuring an accessible approach, Bayesian Methods for;

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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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Current Trends in Bayesian Methodology with Applications

Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the;

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Current Trends in Bayesian Methodology with Applications

Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the;

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Case Studies in Applied Bayesian Data Science: Cirm Jean-Morlet Chair, Fall 2018

Presenting a range of substantive applied problems within Bayesian Statistics along with their Bayesian solutions, this book arises from a;

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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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Bayesian Essentials with R

This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical;

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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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Cambridge Studies in Probability, Induction and Decision Theory

This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic;

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