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Robust Bayesian Analysis

Robust Bayesian analysis aims at overcoming the traditional objection to Bayesian analysis of its dependence on subjective inputs, mainly;

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Modern Bayesian Statistics in Clinical Research

(Bayesian t-tests, analysis of variance (anova), linear regression, crosstabs etc.). Modern Bayesian statistics is based on biological;

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Current Trends in Bayesian Methodology with Applications

latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis;

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Current Trends in Bayesian Methodology with Applications

latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis;

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Introduction to Bayesian Statistics

statistical analysis, yet most introductory statistics texts only present frequentist methods. Bayesian statistics has many important advantages that;

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Modeling in Mathematics

representing noisy sounds with short-time sinusoids, robust Bayesian regularized estimation based on regression model and robust quadratic regression;

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Statistical Decision Theory and Bayesian Analysis

In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics;

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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 Methods for Repeated Measures

Measures presents the main ideas for the analysis of repeated measures and associated designs from a Bayesian viewpoint. It describes many;

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Bayesian Methods for Repeated Measures

Measures presents the main ideas for the analysis of repeated measures and associated designs from a Bayesian viewpoint. It describes many;

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Bayesian Approaches in Oncology Using R and OpenBUGS

foundation for later chapters. Many books on the bayesian approach and the statistical analysis are advanced, and many are theoretical. While most;

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Bayesian Analysis Made Simple

focused on practical issues, or generally too difficult to understand. Bayesian Analysis Made Simple is aimed at those who wish to apply;

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Bayesian Analysis Made Simple

focused on practical issues, or generally too difficult to understand. Bayesian Analysis Made Simple is aimed at those who wish to apply;

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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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Bayesian Analysis of Gene Expression Data

exclusively to Bayesian methods of analysis for applications to high-throughput gene expression data, exploring the relevant methods that are changing;

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Bayesian Decision Analysis

Bayesian decision analysis supports principled decision making in complex domains. This textbook takes the reader from a formal analysis;

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Bayesian Analysis of Infectious Diseases

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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Bayesian Analysis with Python

Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ Key Features A step-by-step guide to conduct Bayesian;

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Bayesian Disease Mapping

Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the;

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Bayesian Disease Mapping

Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the;

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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 Analysis of Stochastic Process Models

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified;

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Bayesian Methods For Data Analysis

Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the;

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Bayesian Analysis with Python

statistical problems using Python; * Tutorial guide that will take the you through the journey of Bayesian analysis with the help of sample problems;

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Bayesian Theory and Methods with Applications

, environmental sciences, business and economics and social sciences, among others. This book explores the use of Bayesian analysis in the statistical;

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