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DTSTART:20070311T020000
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BEGIN:VEVENT
DTSTAMP:20231228T123129
DTSTART;TZID=America/Detroit:20231213T153000
DTEND;TZID=America/Detroit:20231213T161500
SUMMARY:Careers / Jobs:The Marshall Teacher Residency - Application Workshop
DESCRIPTION:Thinking about a career in teaching? Missed the last application deadline? Don’t worry. Get prepared for the next deadline by attending the Marshall Teacher Residency Application Workshop \n\nNot only will you learn about the program and its design we will also create space for serious applicants that are ready to make the step on the pathway of becominga teacher. Receive guidance\, support and feedback on your application from MTR Manager of Recruitment\, Kelly Smith
UID:116043-21836102@events.umich.edu
URL:https://events.umich.edu/event/116043
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20231129T115731
DTSTART;TZID=America/Detroit:20231213T160000
DTEND;TZID=America/Detroit:20231213T170000
SUMMARY:Workshop / Seminar:3rd Year Analytical Chemistry Student Seminars
DESCRIPTION:Dec 6\, 4 PM\, 1640: Steven DeFiglia (Hakansson) and Emily Costa (Pratt)\n\nDec 8\, 4 PM\, 1706: Logan Forshee (Pratt) and Scarlet Aguilar Martinez (Zimmerman)\n\nDec 13\, 4 PM\, 1640: Ryan Van Daele (Bartlett) and Ian Bain (Kennedy)\n\nDec 15\, 4 PM\, 1640: Rebecca Parham (Ault)
UID:113884-21831860@events.umich.edu
URL:https://events.umich.edu/event/113884
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Analytical Chemistry,Biosciences,Chemistry,Science
LOCATION:Chemistry Dow Lab - 1640
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20231204T170753
DTSTART;TZID=America/Detroit:20231213T160000
DTEND;TZID=America/Detroit:20231213T170000
SUMMARY:Workshop / Seminar:Bayesian sequential testing and estimation in discrete time
DESCRIPTION:In this talk\, I will present two concrete problems related to sequentially testing and estimating an unknown parameter within the exponential family in discrete time\, incorporating observation costs within the Bayesian setting. Specifically\, we will examine the entire one-parameter exponential family with an arbitrary prior distribution\, and\, therefore\, we will not rely on conjugate priors. These problems can be embedded in Markovian frameworks. In the absence of explicit solutions\, we will discuss the properties of the value functions and their implications for the structure of continuation regions. Beyond the obvious statistical applications\, I will briefly discuss their relevance in stochastic control problems with learning features. Part of this talk is based on joint work with Erik Ekström.
UID:115769-21835489@events.umich.edu
URL:https://events.umich.edu/event/115769
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:Off Campus Location
CONTACT:
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