Statistical Network Analysis: Past, Present, and Future

Srijan Sengupta
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引用次数: 0

Abstract

This article provides a brief overview of statistical network analysis, a rapidly evolving field of statistics, which encompasses statistical models, algorithms, and inferential methods for analyzing data in the form of networks. Particular emphasis is given to connecting the historical developments in network science to today's statistical network analysis, and outlining important new areas for future research. This invited article is intended as a book chapter for the volume "Frontiers of Statistics and Data Science" edited by Subhashis Ghoshal and Anindya Roy for the International Indian Statistical Association Series on Statistics and Data Science, published by Springer. This review article covers the material from the short course titled "Statistical Network Analysis: Past, Present, and Future" taught by the author at the Annual Conference of the International Indian Statistical Association, June 6-10, 2023, at Golden, Colorado.
统计网络分析:过去,现在和未来
本文简要概述了统计网络分析,这是一个快速发展的统计学领域,包括统计模型、算法和用于分析网络形式数据的推理方法。特别强调将网络科学的历史发展与今天的统计网络分析联系起来,并概述未来研究的重要新领域。这篇特邀文章将作为Subhashis Ghoshal和Anindya Roy为Springer出版的国际印度统计协会统计与数据科学系列编辑的“统计与数据科学前沿”一书的一章。这篇评论文章涵盖了作者在2023年6月6日至10日在科罗拉多州戈尔登举行的国际印度统计协会年会上讲授的题为“统计网络分析:过去,现在和未来”的短期课程的材料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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