BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20251211T100344EST-1884gjGzfs@132.216.98.100 DTSTAMP:20251211T150344Z DESCRIPTION:\n Title: Unfolding Generalized Shannon’s Entropy\n\n  \n\n\nAbst ract:\n\nShannon’s entropy is a cornerstone of information theory\, quanti fying uncertainty within a probability distribution. However\, the classic al definition may fail for distributions with heavy tails or infinite alph abets\, leaving gaps in its theoretical foundation. This talk introduces a framework called Generalized Shannon’s Entropy (GSE)\, which extends the original concept to ensure well-definedness and robustness under broader c onditions.\n\nThe talk begins by revisiting Shannon’s entropy and its limi tations\, followed by the construction of the GSE through escort distribut ions that adjust tail behavior. The asymptotic properties of plug-in estim ators for GSE are discussed\, including a central limit theorem that requi res minimal assumptions. The talk then connects this generalization to mut ual information\, leading to tests of independence on a contingency table with asymptotic normality.\n\nThe second half explores the role of GSE in characterizing discrete probability distributions. Several recent results are reviewed\, showing how finite or countable sets of entropic quantities can uniquely determine a distribution up to permutation. The talk conclud es with open directions toward developing goodness-of-fit tests for discre te and disparate sample spaces using finite-order GSE characterization.\n \nSpeaker\n\nDr. Jialin Zhang is an Assistant Professor of Statistics at M ississippi State University. He received his Ph.D. in Statistics from the University of North Carolina at Charlotte in 2019 before joining Mississip pi State University. His research focuses on nonparametric estimation of i nformation-theoretic quantities and entropic approaches to statistical inf erence.\n\nhttps://mcgill.zoom.us/j/83026954715\n\nMeeting ID: 830 2695 47 15\n\nPasscode: None\n DTSTART:20251205T203000Z DTEND:20251205T213000Z LOCATION:Room 1104\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue Sherbrooke Ouest SUMMARY:Jialin Zhang (Mississippi State University) URL:/mathstat/channels/event/jialin-zhang-mississippi- state-university-369492 END:VEVENT END:VCALENDAR