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Information lost when resampling
Description:  Various procedures in statistics rely on taking decisions based on data that has been resampled (usually with replacement). Examples include bootstrap-based confidence bounds and error estimates or "bagged" estimators. Since resampling is an additional source of randomness such resampled data is necessarily less informative, but how much? We will consider this question, and give at least some answers, from the perspective of Le Cam's notion of deficiency between experiments.
Date:  2018-12-12
Start Time:   14:30
Speaker:  Tilo Wiklund (Univ. of Uppsala, Sweden)
Institution:  Univ. of Uppsala, Sweden
Place:  Sala 5.5
Research Groups: -Probability and Statistics
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