Markov Bases In Algebraic Statistics(1st Edition)
Authors:
Satoshi Aoki , Hisayuki Hara, Akimichi Takemura
Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New
In Stock: 1 Left
Shipment time
Expected shipping within 2 - 3 DaysPopular items with books
Access to 35 Million+ Textbooks solutions
Free ✝
Ask Unlimited Questions from expert
AI-Powered Answers
30 Min Free Tutoring Session
✝ 7 days-trial
Total Price:
$76.52
List Price: $109.31
Savings: $32.79
(30%)
Solution Manual Includes
Access to 30 Million+ solutions
Ask 50 Questions from expert
AI-Powered Answers
24/7 Tutor Help
Detailed solutions for Markov Bases In Algebraic Statistics
Price:
$9.99
/month
Book details
ISBN: 1489999094, 978-1489999092
Book publisher: Springer
Customers also bought these books (18)
Popular Among Students (13)
Customer Reviews
Trusted feedback from verified buyers
GC
A solid resource for graduate students and professionals alike, this book dives into the intricacies of algebraic statistics with depth and clarity. The examples provided are particularly helpful in illustrating complex concepts. It arrived quicker than expected thanks to efficient delivery services, and the condition was perfect. However, some sections felt slightly dense, but overall, it’s a valuable addition to any statistician's library.
EB
This book is an outstanding resource for anyone delving into the realm of algebraic statistics. It provides a comprehensive introduction to Markov bases, covering both foundational theories and practical applications effectively. The authors do an excellent job at balancing complex mathematical concepts with clear, understandable explanations and examples. As an added bonus, I received an extra discount using my membership, which made this purchase even more worthwhile. The delivery was prompt and the book was well-packaged, arriving without a scratch. Highly recommend this to anyone interested in advancing their understanding in this field.
VH
Picked this up to broaden my understanding of algebraic statistics. It offers useful insights into practical applications of Markov bases. While it does get a bit technical in parts, the book balances this by providing examples that ground these complex ideas in relatable scenarios. I used my subscription to get it at a discounted rate, which was a pleasant surprise. If you're willing to tackle some challenging material, this is a worthwhile read.





























