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DTSTART:20070311T020000
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BEGIN:VEVENT
DTSTAMP:20261007T175111
DTSTART;TZID=America/Detroit:20261112T130000
DTEND;TZID=America/Detroit:20261112T180000
SUMMARY:Conference / Symposium:Eisenberg Family Depression Center 25th Anniversary Symposium & Celebration
DESCRIPTION:Join us on November 12 as we celebrate our 25th anniversary with an afternoon research symposium and reception. The day begins with the presentation of the Mike Wallace Award to Dr. John Greden for his leadership and commitment to conquering depression and related illnesses. \n\nThe symposium features a lineup of lightning talks and an interactive panel discussion focused on advances in depression and mental well-being research. We’ll conclude with the presentation of the Eisenberg Research Prize to Dr. John Krystal of the Yale School of Medicine and hear more about his groundbreaking research career. \n\nStay for a reception with U-M colleagues\, collaborators\, and friends of the Center as we toast to this milestone. Appetizers and beverages will be served. Everyone is welcome! Registration required.
UID:153423-21915843@events.umich.edu
URL:https://events.umich.edu/event/153423
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:symposium,Research,Reception,psychology,psychiatry,mental health,depression
LOCATION:Taubman Biomedical Science Research Building - Kahn Auditorium
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20261109T113858
DTSTART;TZID=America/Detroit:20261112T130000
DTEND;TZID=America/Detroit:20261112T142000
SUMMARY:Workshop / Seminar:Empirical Bayes for Compound Adaptive Experiments (joint with Karun Adusumilli and Junfan Tao)
DESCRIPTION:We investigate Empirical Bayes (EB) methods in the context of compound adaptive experiments\, where the arm distribution in each experiment follows a normal distribution with an unknown mean that we seek to estimate. There are two main EB strategies: g-modeling\, which estimates the prior by maximizing the marginal likelihood\, and f-modeling\, which derives posterior means directly from the empirical distribution of the observations. We show that g-modeling continues to be a valid EB procedure even when it incorrectly assumes that data are collected exogenously\; its validity does not depend on the particular sampling algorithm or on whether sample sizes are endogenous. In practice\, one can apply standard g-modeling techniques by acting as though the data were exogenously sampled. We extend regret guarantees from exogenous sampling to adaptively generated data. By contrast\, naively applying the Tweedie formula based on the marginal density of the observed data\, as in standard f-modeling\, can produce biased rules under adaptive sampling. We corroborate the robustness of g-modeling through simulations with widely used adaptive algorithms and demonstrate its applicability using a real-world dataset consisting of multiple sequential experiments.
UID:151824-21912232@events.umich.edu
URL:https://events.umich.edu/event/151824
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Economics,seminar,Metrics,Econometrics
LOCATION:North Quad - 4300
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20261022T111455
DTSTART;TZID=America/Detroit:20261112T130000
DTEND;TZID=America/Detroit:20261112T140000
SUMMARY:Social / Informal Gathering:HFES x INFORMS Coffee Chat
DESCRIPTION:Join us for some coffee and networking!
UID:153967-21916935@events.umich.edu
URL:https://events.umich.edu/event/153967
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Graduate,Graduate Students,Industrial And Operations Engineering,Undergraduate,Undergraduate Students
LOCATION:Industrial and Operations Engineering Building - Community Suite
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20261110T232101
DTSTART;TZID=America/Detroit:20261112T130000
DTEND;TZID=America/Detroit:20261112T140000
SUMMARY:Workshop / Seminar:Intro to Maizey
DESCRIPTION:An in-person workshop to learn how to build a Maizey for your unit.
UID:152083-21912906@events.umich.edu
URL:https://events.umich.edu/event/152083
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:LSA 1168
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20261110T232053
DTSTART;TZID=America/Detroit:20261112T130000
DTEND;TZID=America/Detroit:20261112T140000
SUMMARY:Workshop / Seminar:Laser Training
DESCRIPTION:You must complete FABLab Safety Training and have watched the Laser cutter training video before attending this session!
UID:152896-21918119@events.umich.edu
URL:https://events.umich.edu/event/152896
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:Taubman College Laser Cutter Room
CONTACT:
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