Michael Woodroofe Memorial Conference
"Synergies between Nonparametrics, Sequential Analysis and Modern Data Science"
In memorial to Professor Michael Woodroofe and his contributions to Statistics, the Department of Statistics at the University of Michigan,...
Michael Woodroofe Memorial Conference
"Synergies between Nonparametrics, Sequential Analysis and Modern Data Science"
In memorial to Professor Michael Woodroofe and his contributions to Statistics, the Department of Statistics at the University of Michigan,...
Statistics Department Seminar Series: Anne van Delft, Assistant Professor, Department of Statistics, Columbia University
"A statistical framework for analyzing shape in a time series of random geometric objects" (joint work with Andrew J. Blumberg)
Abstract: We introduce a new framework to analyze shape descriptors that capture the geometric features of an ensemble of point clouds. At...
Statistics Department Seminar Series: Claire Bowen, Principal Research Associate and Statistical Methods Group Lead for Data Privacy and Confidentiality, Urban Institute
"Safe Data Technologies Project: Safely Expanding Access to Administrative Tax Data"
Abstract: The Statistics of Income (SOI) Division within the Internal Revenue Service curates and maintains an extensive repository of tax...
Statistics Department Seminar Series: Daniel McCaffrey, Associate Vice President of Psychometric Analysis and Research, Educational Testing Service
To be announced
To be announced https://www.linkedin.com/in/dan-mccaffrey-1654809
Statistics Department Seminar Series: Yufeng Liu, Professor, Department of Statistics, Operations Research, Genetics, and Biostatistics, University of North Carolina at Chapel Hill
To be announced
To be announced https://yfliu.web.unc.edu/
AIM Seminar / MCAIM Colloquium: Cars, Steaks, and Hurricanes: A General Bayesian Approach to Inverse Problems
Don Estep, Simon Fraser University, Department of Statistics and Actuarial Science
The inverse problem of determining information about the state of a physical system from observations of its behavior is fundamental to...
