Ebook Download Probabilistic Foundations of Statistical Network Analysis (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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Probabilistic Foundations of Statistical Network Analysis (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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Review
"I believe this book can serve both as a reference and textbook, but primarily should be seen as a textbook for a course built around foundational aspects of statistical modeling for network data. Most prior texts I am aware of focus on statistical methods within existing network models. I really like that this book helps the reader understand the statistical implications of choice of model, both in terms of "coherence" and sampling. Most prior work presents the field of statistical network analysis as a basket of models from which one chooses their preferred method. Crane takes a more foundational approach - showing how choice of model leads to implicit statistical assumptions that too often go unspoken."~Walter Dempsey, Harvard University
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Product details
Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability (Book 157)
Paperback: 256 pages
Publisher: Chapman and Hall/CRC; 1 edition (April 21, 2018)
Language: English
ISBN-10: 1138630152
ISBN-13: 978-1138630154
Product Dimensions:
6.1 x 0.5 x 9.2 inches
Shipping Weight: 13.4 ounces (View shipping rates and policies)
Average Customer Review:
5.0 out of 5 stars
3 customer reviews
Amazon Best Sellers Rank:
#156,720 in Books (See Top 100 in Books)
If you would like to practice network analysis by dynamical way, but not stagnate with statics, then this is the book for you. Alternatively, I leant a lot by following Harry Crane’s twitter feed. Highly recommend for anybody who prefer complex data analysis over classical statistics.
This is a fun book I recommend for any reader interested in learning about statistical tools for networks. Crane has an entertaining writing style that makes this one of the more enjoyable books you will find in statistics or probability.
Insightful and well-written. A book that should litter the shelves of any mathematician, statistician, and data scientist worth their salt
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