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        "event_title":"Hopwood Tea",
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        "combined_title":"Hopwood Tea",
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        "description":"All are welcome to tea, coffee, light refreshments, and conviviality in a beautiful, historic setting.",
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        "tags":["Department Of English Language And Literature","Graduate Students","Hopwood Program","Literary Arts","The Helen Zell Writers' Program","Undergraduate Students","Writing","Books","Contemporary Literature","Creative Writing","Faculty","Food","Free"],
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        "event_title":"IOE 899: Statistical Inference for Markov Chains with Known Structure",
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        "combined_title":"IOE 899: Statistical Inference for Markov Chains with Known Structure: Peter Glynn",
        "event_subtitle":"Peter Glynn",
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        "description":"About the speaker: Peter W. Glynn is the Thomas Ford Professor in the Department of Management Science and Engineering (MS&E) at Stanford University and also holds a courtesy appointment in the Department of Electrical Engineering. He received his Ph.D in Operations Research from Stanford University in 1982. He then joined the faculty of the University of Wisconsin at Madison, where he held a joint appointment between the Industrial Engineering Department and Mathematics Research Center, and courtesy appointments in Computer Science and Mathematics. In 1987, he returned to Stanford, where he joined the Department of Operations Research. From 1999 to 2005, he served as Deputy Chair of the Department of Management Science and Engineering, and was Director of Stanford's Institute for Computational and Mathematical Engineering from 2006 until 2010. He served as Chair of MS&E from 2011 through 2015. He is a Fellow of INFORMS and a Fellow of the Institute of Mathematical Statistics, and was an IMS Medallion Lecturer in 1995, a Lunteren Lecturer in 2007, the INFORMS Markov Lecturer in 2014, an Infosys-ICTS Turing Lecturer in 2019, and gave a Titan of Simulation talk at the 2019 Winter Simulation Conference. He was co-winner of the Outstanding Publication Awards from the INFORMS Simulation Society in 1993, 2008, and 2016, was a co-winner of the Best (Biannual) Publication Award from the INFORMS Applied Probability Society in 2009, was the co-winner of the John von Neumann Theory Prize from INFORMS in 2010, and gave the INFORMS Philip McCord Morse Lecture in 2020. In 2012, he was elected to the National Academy of Engineering, and in 2021 he received the Lifetime Professional Achievement Award of the INFORMS Simulation Society. He was Founding Editor-in-Chief of Stochastic Systems and served as Editor-in-Chief of Journal of Applied Probability and Advances in Applied Probability from 2016 to 2018. His research interests lie in simulation, computational probability, queueing theory, statistical inference for stochastic processes, and stochastic modeling. \r\n\r\n\r\nAbstract: In this talk, we will discuss nonparametric estimation for Markov chains that satisfy stochastic recursions of a known form, but in which the driving noise has an unknown distribution. We assume that we observe samples of the driving noise. We will argue that such Markov chains\/data sets arise naturally within the setting of operations research and management science. We will describe general statistical theory for such Markov chains, including consistency of \u201cplug-in\u201d estimators, the influence function, central limit theorems, and related computational issues. Such theory allows us to assess how \"input uncertainty\" propagates through to \"output uncertainty\" within the class of stochastic models most relevant to our field. This work is joint with Lin Fan.",
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        "event_title":"Tech Talk: Safe Computing 101",
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        "combined_title":"Tech Talk: Safe Computing 101",
        "event_subtitle":"",
        "event_type":"Workshop \/ Seminar",
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        "description":"New to computers? Not sure the best ways to stay safe both at work and at home? Let us teach you about the different ways you can keep your devices safe using DUO, ad-blockers, virus protection services, and U-M best practices for avoiding phishing scams and viruses.\r\n\r\nWho: Open to all\r\nWhen: Thursdays at 3 p.m. (lasting 20-30 minutes, with option for Q&A and personal consulting to follow)\r\nWhere: Michigan Union | Ground Floor\r\n\r\nIt would be great if you registered to let us know you\u2019re coming, but drop-ins are also welcome!",
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