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Essential Bayesian Models

This accessible reference includes selected contributions from Bayesian Thinking - Modeling and Computation, Volume 25 in the Handbook;

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Bayesian Models

understanding of how to implement this powerful statistical approach. Bayesian Models is an essential primer for non-statisticians. It begins with a;

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Handbook of Approximate Bayesian Computation

first time in a single volume, the Handbook of Approximate Bayesian Computation (ABC) presents an extensive overview of the theory, practice and;

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Bayesian Evolutionary Analysis with BEAST

What are the models used in phylogenetic analysis and what exactly is involved in Bayesian evolutionary analysis using Markov chain Monte;

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Bayesian Networks and Decision Graphs

This is a brand new edition of an essential work on Bayesian networks and decision graphs. It is an introduction to probabilistic graphical;

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Bayesian Analysis with Python

* Understand the essentials Bayesian concepts from a practical point of view * Learn how to build probabilistic models using the Python library PyMC3;

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Practical Applications of Bayesian Reliability

Demonstrates how to solve reliability problems using practical applications of Bayesian models This self-contained reference provides;

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Bayesian Analysis of Linear Models

With Bayesian statistics rapidly becoming accepted as a way to solve applied statisticalproblems, the need for a comprehensive, up-to-date;

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Bayesian Analysis of Linear Models

With Bayesian statistics rapidly becoming accepted as a way to solve applied statisticalproblems, the need for a comprehensive, up-to-date;

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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 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 Psychometric Modeling

A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment Bayesian Psychometric Modeling presents a unified;

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Bayesian Psychometric Modeling

A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment Bayesian Psychometric Modeling presents a;

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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

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

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Bayesian Models for Astrophysical Data

This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to;

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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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Biostatistics

An essential introductory text linking traditional biostatistics with bayesian methods In recent years, Bayesian methods have seen an;

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Introduction to Hierarchical Bayesian Modeling for Ecological Data

Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian;

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Introduction to Hierarchical Bayesian Modeling for Ecological Data

Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian;

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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 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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Bayesian Phylogenetics

Offering a rich diversity of models, Bayesian phylogenetics allows evolutionary biologists, systematists, ecologists, and epidemiologists;

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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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Probabilistic Graphical Models

of Bayesian classifiers, hidden Markov models, Bayesian networks, dynamic and temporal Bayesian networks, Markov random fields, influence diagrams;

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Bayesian Speech & Language Processing

With this comprehensive guide you will learn how to apply Bayesian machine learning techniques systematically to solve various problems;

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Spatial & Spatio Temporal Bayesian

Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the;

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