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DTSTART:20070311T020000
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BEGIN:VEVENT
DTSTAMP:20241210T132616
DTSTART;TZID=America/Detroit:20250402T120000
DTEND;TZID=America/Detroit:20250402T124500
SUMMARY:Well-being:Lunchtime Yoga
DESCRIPTION:Lunchtime yoga is an opportunity to provide your body with some gentle movement\, strengthening\, stretching and balancing.  We will use the poses (asanas) to reconnect with your senses\, to breathe some life back into ourselves\, find internal balance and to recover from the   efforts of the work week.  The focus is on calm reconnection with ourselves rather than working out.  Please bring a mat and a water bottle.  This class will be held at the School of Kinesiology on the 4th floor in room 4099.  This class will be held each Wednesday from March 12 through April 16.
UID:129888-21864745@events.umich.edu
URL:https://events.umich.edu/event/129888
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Health & Wellness,yoga
LOCATION:School of Kinesiology Building - 4099
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250110T130940
DTSTART;TZID=America/Detroit:20250402T120000
DTEND;TZID=America/Detroit:20250402T160000
SUMMARY:Exhibition:More than Gray: Reimagining Early America in Full Color
DESCRIPTION:The American past was lived in full color\, but this vibrant history can be easily missed in surviving evidence. You can’t deny that there’s something about a black-and-white photograph that feels… stuffy. With portraits showing people with their shirts buttoned right to the neck and everything in shades of gray and brown\, our imaginations can incline to thinking of the past as a bit staid\, if not downright dull. But look a little closer\, and you’ll see signs that the fashion choices available to those who came before us were more colorful than you might first think. From the fabrics they wore\, to the games they played\, or the books they read\, their world was alive with bright hues. This exhibit invites you to reimagine history with a fuller color palette and picture the vibrancy and joy that just might be hidden behind the unsmiling photographs.\n\nExhibition opening weekdays from 12-4.
UID:130748-21866792@events.umich.edu
URL:https://events.umich.edu/event/130748
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:american culture,american history,Exhibit,Exhibition,Free,history,libraries,Library
LOCATION:William Clements Library
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250226T162327
DTSTART;TZID=America/Detroit:20250402T120000
DTEND;TZID=America/Detroit:20250402T130000
SUMMARY:Presentation:MPSDS JPSM Seminar Series - Improve Survey Inference Using Bayesian Machine Learning
DESCRIPTION:MPSDS JPSM Seminar Series\nApril 2\, 2025\n12:00 - 1:00 pm EDT\n\nIn person\, room G300 Perry Building\, and via Zoom.\nThe Zoom call will be locked 10 minutes after the start of the presentation. \n\nImprove Survey Inference Using Bayesian Machine Learning\n \nWe consider survey inference from nonrandom samples in data-rich settings where high-dimensional auxiliary information is available both in the sample and the target population. When we have access to the individual-level data of the auxiliary variables in the population\, we propose a regularized predictive inference approach that predicts the outcomes in the population based on the large number of auxiliary variables using Bayesian additive regression trees (BARTs) and its extensions. Our simulation studies reveal that the regularized predictions using BARTs yield valid inferences for the population means with coverage rates close to the nominal levels. We extend the method to accommodate two-phase designs\, scenarios involving population data with confidentiality constraints\, and cases where only the population margins of the auxiliary variables are available. We demonstrate the application of the proposed methods using health surveys. \n \nDr. Qixuan Chen is Associate Professor of Biostatistics at Columbia University. She obtained her PhD in Biostatistics from the University of Michigan in 2009. Her research focuses on survey sampling\, missing data\, measurement error\, data integration\, and Bayesian modeling. She collaborates extensively with interdisciplinary researchers on the design and analysis of longitudinal and cross-sectional health surveys at local\, national\, and international levels. Since 2018\, Dr. Chen has served as Associate Editor for Biometrics.
UID:133184-21872560@events.umich.edu
URL:https://events.umich.edu/event/133184
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Basic Science,Bias,brown bag,Causal Inference,Data,Data Analysis,Data Collection,Data Curation,Data Linkage,Data Management,Data Science,Free,Health Data,In Person,Lecture,Population Studies Center,Research,Science,seminar,Social Sciences,Sociology,Statistics,Survey Methodology,Survey Research,Virtual
LOCATION:Perry Building - G300
CONTACT:
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