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DTSTART;TZID=America/Los_Angeles:20261116T153000
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DTSTAMP:20260922T180840Z
CREATED:20260917T185033Z
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SUMMARY:Fall Slow Seminar: The Range of the River by Iftekhar Iqbal
DESCRIPTION:UCSC’s Center for Southeast Asian Coastal Interactions (SEACoast)  and the  Center for South Asian Studies  invite you to join us for a Slow Seminar to discuss Iftekhar Iqbal’s   The Range of the River: Asia’s Great River Systems and the Making of a Transregional World  on  Monday\, November 16\, 2026 from 3:30-5:00pm PST in Room 210\, Humanities 1. \nSpanning nearly four million square kilometers across eastern South Asia\, mainland Southeast Asia\, and southern China\, the Tibetan river system connects some of Asia’s major waterways\, including the Brahmaputra\, Mekong\, and Yangtze. In The Range of the River\, Iqbal traces the intertwined histories of these rivers and the human and other-than-human forces that have shaped them. The book considers rivers not only as sites of imperial power\, territorial contestation\, and economic activity\, but also as dynamic forces and shared commons that have facilitated movement\, exchange\, commerce\, and cultural encounters across political and geographic boundaries. \nProfessor Anna Tsing (UCSC Anthropology) will facilitate our Slow Seminar to focus on three river systems explored in Iqbal’s book: the Brahmaputra\, Mekong\, and Yangtze. Three scholars including Sanjay Barbora (UCSC Sociology)\, David Biggs (UCR History)\, and Ben Read (UCSC Politics) will offer brief reflections on one river each\, providing distinct disciplinary and regional perspectives before the discussion opens to a broader collective conversation. Our seminar conversation will focus on Chapters 1\, 4\, 6\, and 7 of the book. \nPlease register for the Slow Seminar by filling out this Google Form. Registered guests will receive a PDF copy of selected chapters of The Range of the River via email. \nThis is a Hybrid event. Participants may join in-person at UCSC or by Zoom. The Zoom link will be sent out to registered participants at least 1 hour before the event. \nRegistration will close at midnight on November 15\, 2026. \nNew to Slow Seminars?  Check out SEACoast’s definition here.
URL:https://live-events-ucsc.pantheonsite.io/event/fall-slow-seminar-the-range-of-the-river-by-iftkhar-iqbal/
LOCATION:Humanities 1 Building\, 257 Cowell-Stevenson Road\, Santa Cruz\, CA\, 95064\, United States
CATEGORIES:Lectures & Presentations,Seminars
ORGANIZER;CN="Center for Southeast Asian Social Interactions":MAILTO:seacoast@ucsc.edu
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DTSTART;TZID=America/Los_Angeles:20261123T160000
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DTSTAMP:20261007T203353Z
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UID:10017756-1795449600-1795453200@live-events-ucsc.pantheonsite.io
SUMMARY:Statistics Seminar: Randomization Posteriors and Generalized Bayesian Inference
DESCRIPTION:Presenter: Edric Tam\, Warren Alpert Fellow in AI and Computational Biology\, Department of Biomedical Data Science\, Stanford University \nDescription: A longstanding question in Bayesian analysis concerns the role of randomization. We introduce randomization posteriors\, a class of generalized Bayesian updates obtained by averaging over an auxiliary randomization law. A particularly relevant instance assigns random weights to the log-likelihood contributions of individual observations\, thereby averaging inference over random perturbations of the dataset. The resulting posterior updates are governed by a fundamental design choice: the stage at which the randomization is averaged out. Averaging at the log-likelihood level recovers the power posterior for a broad class of weight distributions\, while averaging at the posterior level\, under suitable choices of weights\, recovers the bagged posterior. Averaging at the likelihood level yields a new family of generalized Bayesian updates\, which we term contamination posteriors. These are indexed by the cumulant transform of the randomization law and require a reference density for well-posedness. For Bernoulli weights\, they recover classical Huber-type contamination models\, while Beta and other weight distributions produce new generalized posteriors. We characterize the theoretical properties of randomization posteriors and illustrate their empirical robustness through simulations and experiments. We also discuss connections with bootstrap methods\, coarsened posteriors\, and other generalized Bayesian updating procedures. \nAbout the speaker: Edric (Ed) Tam is a postdoctoral fellow at the Department of Biomedical Data Science in Stanford University. His research lies at the intersection of Bayesian statistics\, artificial intelligence\, and biomedical applications. His postdoctoral work has been supported by a Warren Alpert Fellowship and a Croucher Postdoctoral Fellowship. He earned his PhD in Statistical Science from Duke University\, where he worked with David Dunson\, and holds degrees in computer science and biomedical engineering from the University of Chicago\, Yale University\, and Johns Hopkins University. He has also held research and engineering roles at Google\, Meta\, Amazon\, and Apple AIML. \nThis seminar is hosted by Professor Yunyi Shen.
URL:https://live-events-ucsc.pantheonsite.io/event/statistics-seminar-randomization-posteriors-and-generalized-bayesian-inference/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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