12
Jun
![Teaser image to Generalized Data Thinning Using Sufficient Statistics](/images/logos/stat-colloquium.png)
Generalized Data Thinning Using Sufficient Statistics
Jacob Bien, University of Southern California, LA
12.06.2023
3:00 pm - 4:30 pm
LMU Department of Statistics and via zoom
Sample splitting, a common tool in data science, faces limitations. A recent method, convolution-closed data thinning, offers an alternative when sample splitting isn't feasible. This talk explores sufficiency as a key principle, leading to a unified framework called generalized data thinning.
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