Asymptotic postâselection inference for the Akaike information criterion
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DOI: 10.1093/biomet/asy018
Abstract: Summary Ignoring the model selection step in inference after selection is harmful. In this paper we study the asymptotic distribution of estimators after model selection using the Akaike information criterion. First, we consider the classical… read more here.
Keywords: akaike information; selection; model; post selection ... See more keywords
Post-selection inference in regression models for group testing data.
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DOI: 10.1093/biomtc/ujae101
Abstract: We develop a methodology for valid inference after variable selection in logistic regression when the responses are partially observed, that is, when one observes a set of error-prone testing outcomes instead of the true values… read more here.
Keywords: methodology; inference; post selection; selection ... See more keywords
Achieving metrological precision limits through post-selection
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DOI: 10.1103/physreva.95.012104
Abstract: Post-selection strategies have been proposed with the aim of amplifying weak signals, which may help to overcome detection thresholds associated with technical noise in high-precision measurements. Here we use an optical setup to experimentally explore… read more here.
Keywords: metrological precision; post selection; post; achieving metrological ... See more keywords