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Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan 2nd Edition
物品 #: 4614202

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan 2nd Edition

物品 #: 4614202

HKD 643

HKD 918

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What Stands Out

Comprehensive Tutorial
Offers an in-depth tutorial on Bayesian data analysis, guiding readers through complex concepts with practical examples using R, JAGS, and Stan.
Real-World Applications
Equips users with the tools to apply Bayesian techniques to real-world data problems, enhancing practical understanding and analytical skills.
Updated Techniques
Includes the latest advancements and methodologies in Bayesian analysis, ensuring readers are informed about the current best practices in data science.

產品詳情

Discover the power of Bayesian Data Analysis with R, JAGS, and Stan. Shop now at Ubuy 香港 for this comprehensive tutorial book.
Publisher Academic Press
Publication date November 17, 2014
Edition 2nd
Language English
Print length 776 pages
ISBN-10 0124058884
ISBN-13 978-0124058880
Item Weight 3.7 pounds (1.68 kg)
Dimensions 7.8 x 1.7 x 9.3 inches (19.8 x 4.3 x 23.6 cm)

Who Should Buy?

Suitable For
  • Students in Statistics

    Ideal for students seeking foundational knowledge in Bayesian data analysis methods and practical applications using R and JAGS.

  • Data Scientists

    Comprehensive resource for data scientists looking to deepen their understanding of Bayesian techniques for modeling uncertainty.

  • Research Professionals

    Useful for researchers needing robust statistical frameworks to analyze complex data and interpret results using Bayesian approaches.

Not Suitable For
  • Beginners in Statistics

    May overwhelm absolute beginners unfamiliar with statistical concepts or programming, making it unsuitable without prior knowledge.

產品敘述

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan 2nd Edition

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Probability & Statistics Editorial Review

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan is a highly recommended book for beginners and experts alike. The author explains concepts thoroughly and provides supportive visualizations, making it easy to understand and fast to read. The book covers the underlying ideas that build Bayesian analysis and also goes through applied aspects and crucial aspects of model interpretation. Although some readers have mentioned issues with the R code provided, the overall content and explanations in the book are deemed excellent and practical. However, there have been complaints about the readability of equations in the Kindle version. Despite this, the book is still regarded as an outstanding resource for anyone interested in learning Bayesian methods.

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優點

  • Thorough explanations in simple language
  • Supportive visualizations
  • Excellent coverage of Bayesian analysis
  • Practical and clear explanations
  • Sound theory
  • Useful for beginners with some statistical knowledge

缺點

  • Issues with R code

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