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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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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 Analysis with Python

data analyses using PyMC3 and ArviZ A modern, practical and computational approach to Bayesian statistical modeling A tutorial for Bayesian;

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Bayesian Astrophysics

data analysis that are already becoming standard in current astrophysical research.;

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Introduction to Hierarchical Bayesian Modeling for Ecological Data

Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological processes from various sources;

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Introduction to Hierarchical Bayesian Modeling for Ecological Data

Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological processes from various sources;

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Bringing Bayesian Models to Life

Bringing Bayesian Models to Life empowers the reader to extend, enhance, and implement statistical models for ecological and environmental;

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Bringing Bayesian Models to Life

Bayesian Models to Life contains a comprehensive treatment of models and associated algorithms for fitting the models to data. We provide detailed;

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

>Introduces Bayesian data analysis, allowing users to obtain uncertainty measurements easily for any derived parameter of interestWritten;

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Bayesian Analysis with Python

teach the main concepts of Bayesian data analysis. We will learn how to effectively use PyMC3, a Python library for probabilistic programming;

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Bayesian Modeling in Bioinformatics

error and survival models for cDNA microarrays, a Bayesian hidden Markov modeling approach for CGH array data, Bayesian approaches for;

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Bayesian Modeling in Bioinformatics

error and survival models for cDNA microarrays, a Bayesian hidden Markov modeling approach for CGH array data, Bayesian approaches for;

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Learning Bayesian Models with R: Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems

patterns form data using machine learning models and use it for predicting future observations. However, learning and implementing Bayesian models;

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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 Missing Data Problems

Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through;

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Bayesian Missing Data Problems

Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through;

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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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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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Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

in such studies of disease. Using R for Bayesian Spatial and Spatio-Temporal Health Modeling provides a major resource for those interested;

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Bayesian Statistics and Marketing

breakthroughs, making its implementation ideal for many marketing problems. Bayesian analyses can now be conducted over a wide range of marketing;

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Practical Applications of Bayesian Reliability

continuous probability distributions, hazard function, and censored data. Basic concepts of Bayesian statistics, models, reasons, and theory are;

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Bayesian Non- and Semi-parametric Methods and Applications

This book reviews and develops Bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative;

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Bayesian Analysis for Population Ecology

averaging, Bayesian Analysis for Population Ecology presents up-to-date methods for analysing complex ecological data. Leaders in the statistical;

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Bayesian Analysis for Population Ecology

, Bayesian Analysis for Population Ecology presents up-to-date methods for analysing complex ecological data. Leaders in the statistical ecology;

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Handbook of Approximate Bayesian Computation

As the world becomes increasingly complex, so do the statistical models required to analyse the challenging problems ahead. For the very;

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Bayesian Analysis with Stata

Bayesian Analysis with Stata is written for anyone interested in applying Bayesian methods to real data easily. The book shows how modern;

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Bayesian Item Response Modeling

motives for writing this book is to give an introduction to the Bayesian methodology for modeling and analyzing item response data. A Bayesian;

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