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Cynthia Freeman

Crappy shipping. Advanced book but covers necessary topics

Reviewed in the United States 🇺🇸 on May 28, 2018

Verified Purchase

I will talk about 2 things: how this was shipped and then about the book itself. This book was packed in one of those self seal gold bubble mailers but whoever packed it got the seal on the book itself. I have tried rubbing alcohol and lots of other things to get that seal off to no avail. So I definitely have a complaint on the shipping. As for the book itself, I am very happy it includes sections on nonparametric models. I needed to learn about mixture models and Dirichlet Process Mixtures and this book covers that as well as give lots of examples. Word of warning tho: this book is NOT for beginners. You need to have already gone thru some more basic stats books before reading this one.

4 people found this helpful

User-Am

Use as reference book, borrow if possible, pricey to buy

Reviewed in India 🇮🇳 on June 1, 2019

Verified Purchase

The book is thorough but very tedious to work through. It's good to use as a reference manual for Bayesian methods. Needless to say, such sophistication is unnecessary in most common industry applications of data science, but if you are a statistician or an academic practitioner, this is a good handbook to have around, although pricey. A library reference book.

2 people found this helpful

James Haylett

Solution manual would be useful

Reviewed in the United States 🇺🇸 on April 1, 2019

Verified Purchase

Bayesian Data Analysis is written in a textbook format with problems at the end of each section.
Many important concepts are embedded in the problems. An instructor solution manual would be useful for a better understanding of these concepts.

One person found this helpful

JoeT

Not what I expected….

Reviewed in the United States 🇺🇸 on December 27, 2013

Verified Purchase

When I saw the advertisement for this book, I noticed that it said "R programs".
Since I'm not a mathematician but an end-user, this appealed to me.
Then I got the book.
This book is more the academic version of Bayesian Data Analysis, with very little on R.
Namely, it's not what I expected.
The text (at least the chapters that I read) were good, but again, not for an end user.

When will mathematicians learn that not every math book is just for mathematicians?

13 people found this helpful

Amazon User

not good for a beginner in my opinion

Reviewed in the United States 🇺🇸 on September 29, 2017

Verified Purchase

Very technical, not good for a beginner in my opinion. I give it 3/5 as a beginner who found it difficult to follow. Probably better suited to an expert?

13 people found this helpful

Topinskiy Valeriy

Three Stars

Reviewed in the United Kingdom 🇬🇧 on March 24, 2017

Verified Purchase

too much philosophy, I would rather expect more concrete and rigorous algorithms, theorems, tricks.

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5 star		81%
4 star		10%
3 star		6%
2 star		3%
1 star		1%

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