Applied Bayesian Modeling And Causal Inference From Incomplete Data Perspectives(1st Edition)

Authors:

Andrew Gelman, Xiao-Li Meng

Applied Bayesian Modeling And Causal Inference From Incomplete Data Perspectives1st EditionAndrew Gelman, Xiao-Li Meng047009043X, 9780470090435
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Customer Reviews

Trusted feedback from verified buyers

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Patrick Archer
3.0
Reviewed In United States United States • October 10, 2023
Bought this book with high expectations. It's thorough and offers a wealth of information, but I found some sections a little overwhelming. Would've appreciated a more simplified explanation in parts. Delivery was on time, though, and being a member saved me a few bucks.
DH
Damien Hughes
5.0
Reviewed In United States United States • September 5, 2023
Applied Bayesian Modeling And Causal Inference is a treasure for those already familiar with the basics and looking to delve deeper. The integration of theory with practical application is beautifully balanced, making it both sophisticated and accessible. Got it via next-day delivery and as a premium member, I enjoyed an extra 15% off—just perfect!
SM
Sophia Mercer
4.0
Reviewed In United States United States • August 22, 2023
I found this book to be quite insightful. It does an excellent job bridging the gap between theoretical knowledge and practical application. The chapters are well-structured, although I wish there were more visual aids. The book came quickly but had some crumpled pages. Overall, it's a solid resource for anyone studying Bayesian methods.
LC
Luke Chapman
5.0
Reviewed In United States United States • July 12, 2023
This book is phenomenal! It sheds light on Bayesian modeling and causal inference with unmatched clarity. The examples are really well thought out, making complex concepts much easier to grasp. Also, the book arrived earlier than expected and was well-packaged. Being a member, I got it at a great discount too. Highly recommend to anyone diving into data science.

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