Date:
April 7, 2021
Time:
3:00 - 4:00pm
Place:
Zoom - Registry Link Below
Traditionally, statistical procedures have been derived via analytic calculations whose validity often relies on sample size growing to infinity. Dr. Luedtke will describe an approach that uses deep adversarial learning to numerically construct statistical procedures that perform well even in small samples.
Speaker: Alex Luedtke, PhD, Assistant Professor of Statistics, University of Washington
Register: http://eepurl.com/g1X35P
Event Type:
Biostatistics and Bioinformatics Seminar