Robust Universal Inference
Learning and making inference from a finite set of samples are among the fundamental problems in science. In most popular applications, the paradigmatic approach is to seek a model that best explains the data. This approach has many desirable properties when the number of samples is large. However,...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/23/6/773 |