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Bayesian Logical Data Analysis for the Physical Sciences

Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing;

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Bayesian Logical Data Analysis for the Physical Sciences

Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing;

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Bayesian Models for Categorical Data

The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology;

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Bayesian Approach To Intrepreting Archaeological Data

analysis of data and their subsequent interpretation, the authors demonstrate the major advantage of this approach, i.e. that it allows the;

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Stochastic Causality

metaphysical views of causality, Bayesian nets and causal dependence, and causation in the special sciences. Some papers stress the statistical;

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Bayesian Probability Theory

. The book is ideal for students and researchers in physical sciences and engineering.;

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Bayesian Analysis For Social Sciences

Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the;

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Bayesian Statistics for Beginners

use for data analysis in the life and medical sciences, psychology, public health, business, and other fields.;

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Applied Bayesian Modelling

modelling and data analysis for a wide range of people involved in applied statistical analysis, including researchers and students from statistics;

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Doing Bayesian Data Analysis

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian;

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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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Bayesian Data Analysis for the Behavioral and Neural Sciences

This textbook bypasses the need for advanced mathematics by providing in-text computer code, allowing students to explore Bayesian data;

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Bayesian Data Analysis for the Behavioral and Neural Sciences

This textbook bypasses the need for advanced mathematics by providing in-text computer code, allowing students to explore Bayesian data;

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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 Statistical Modelling

statistics, data analysis and Bayesian methods, and will provide a great source of reference for both researchers and students.

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Bayesian Methods for the Physical Sciences

research. The examples are intended to be starting points for readers as they learn to approach their own data and research questions;

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Bayesian Modeling in Bioinformatics

phylogenic analysis, sparsity priors for protein-protein interaction predictions, and Bayesian networks for gene expression data. The text also;

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Bayesian Modeling in Bioinformatics

phylogenic analysis, sparsity priors for protein-protein interaction predictions, and Bayesian networks for gene expression data. The text also;

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Bayesian Models for Astrophysical Data

consistent focus is on hands-on modeling, analysis of data, and interpretation to address scientific questions. A must-have for astronomers, the;

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Missing Data in Longitudinal Studies

Bayesian Modeling and Sensitivity Analysis describes a comprehensive Bayesian approach for drawing inference from incomplete data in longitudinal;

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Bayesian Astrophysics

Bayesian methods are being increasingly employed in many different areas of research in the physical sciences. In astrophysics, models are;

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Maximum Entropy and Bayesian Methods

Mexico, USA, from July 31 to August 4, 1995. Maximum entropy and Bayesian methods are widely applied to statistical data analysis and scientific;

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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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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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Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods;

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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 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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