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Ingrid Hobæk Haff on Muck Rack

Ingrid Hobæk Haff

As seen in: Wiley Online Library, Taylor & Francis Online
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Articles

Detecting statistical interactions in immune receptor data: a comparative study

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By Ingrid Hobæk Haff, Enrico Riccardi, Geir K. Sandve, Thomas Minotto
| Taylor & Francis Online
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. Abstract Statistical interactions are part of numerous data generating processes and several methods have been developed to detect them.
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Accurate bias estimation with applications to focused model selection

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By Nils Lid Hjort, Ingrid Dæhlen, Ingrid Hobæk Haff
| Wiley Online Library Verified
We derive approximations to the bias and squared bias with errors of order o(1/n) where n is the sample size. Our results hold for a large class of estimators, including quantiles, transformations of unbiased estimators, maximum likelihood estimators in (possibly) incorrectly specified models and functions thereof. Furthermore, we use the approximations to derive estimators of the mean squared error (MSE) which are correct to order o(1/n).
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