Prior Processes And Their Applications Nonparametric Bayesian Estimation(2nd Edition)
Authors:
Eswar G. Phadia
Type:Hardcover/ PaperBack / Loose Leaf
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Book details
ISBN: 3319813706, 978-3319813707
Book publisher: Springer
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Customer Reviews
Trusted feedback from verified buyers
JG
For someone like me, who’s been dabbling in Bayesian methods, this book is quite insightful. It provides a thorough understanding without overwhelming the reader with jargon. The balance between theoretical concepts and practical applications is commendable. My book came well-packaged and unscathed, thanks to efficient delivery. I redeemed some membership points for a discount, which was a bonus.
HF
The book is adequate for those starting out, but I expected more advanced topics to be covered. Delivery was quick, though.
TL
This book is a treasure trove of knowledge for those interested in nonparametric Bayesian processes. The explanations are clear and detailed, making even the complex topics approachable. I also appreciate the real-world examples that make bridging theory to application much easier. Got it delivered swiftly thanks to my prime membership, which also got me a sweet discount. Truly, an essential piece for my library!
CN
As a seasoned statistician, I've come across numerous books in the field, but the depth and clarity presented in 'Prior Processes And Their Applications' is unparalleled. The second edition introduces more nuanced examples and applications that make it an excellent reference for both academic and practical purposes. Moreover, the book arrived promptly and in perfect condition, which was a pleasant surprise. Highly recommended for anyone serious about nonparametric Bayesian estimation!
LB
I purchased this book as part of a course I’m undertaking, and it’s been invaluable. The book provides a good balance between theory and practical insights, making it suitable for both academic contexts and real-world application. The quality of the print and binding is excellent, and it arrived quickly. I just wish there were more examples on the less common use cases. Nevertheless, it's a great help overall.





























