9780128117712-0128117710-The Econometric Analysis of Network Data

The Econometric Analysis of Network Data

ISBN-13: 9780128117712
ISBN-10: 0128117710
Edition: 1
Author: Bryan Graham, Aureo de Paula
Publication date: 2019
Publisher: Academic Press
Format: Paperback 244 pages
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Book details

ISBN-13: 9780128117712
ISBN-10: 0128117710
Edition: 1
Author: Bryan Graham, Aureo de Paula
Publication date: 2019
Publisher: Academic Press
Format: Paperback 244 pages

Summary

The Econometric Analysis of Network Data (ISBN-13: 9780128117712 and ISBN-10: 0128117710), written by authors Bryan Graham, Aureo de Paula, was published by Academic Press in 2019. With an overall rating of 3.5 stars, it's a notable title among other Business Mathematics (Business Skills) books. You can easily purchase or rent The Econometric Analysis of Network Data (Paperback) from BooksRun, along with many other new and used Business Mathematics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $1.27.

Description

The Econometric Analysis of Network Data serves as an entry point for advanced students, researchers and data scientists who are seeking to perform effective analyses of networks, especially inference problems. It introduces the key results and ideas in an accessible, yet rigorous way, confining formal proofs to extensively annotated appendices. While a multi-contributed reference, the work is tightly focused and disciplined, providing latitude for varied specialties in one authorial voice. Each of the six worked examples describes relevant computational tools and provides a number of illustrative examples that are supported by a companion site code repository.Answers both the ‘why’ and ‘how’ questions in network analysisDescribes multiple worked examples from the literature and beyond, allowing empirical researchers and data scientists to quickly access the ‘state-of-the-art’Supported by a companion site code repository that details simulations and representative empirical applications in Python, MATLAB and C++Includes 40+ diagrams of ‘networks in the wild’ that help visually summarize key points
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