HOW TO AVOID THE ZERO-POWER TRAP IN TESTING FOR CORRELATION von Preinerstorfer, David

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Functional Sequential Treatment Allocation von Kock, Anders Bredahl, Preinerstorfer, David, Veliyev, Bezirgen

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Consistency of p-norm based tests in high dimensions: Characterization, monotonicity, domination von Kock, Anders Bredahl, Preinerstorfer, David

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Treatment recommendation with distributional targets von Kock, Anders Bredahl, Preinerstorfer, David, Veliyev, Bezirgen

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Finite sample properties of tests based on prewhitened nonparametric covariance estimators von Preinerstorfer, David

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UNIFORMLY VALID CONFIDENCE INTERVALS POST-MODEL-SELECTION von Bachoc, François, Preinerstorfer, David, Steinberger, Lukas

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SUPERCONSISTENCY OF TESTS IN HIGH DIMENSIONS von Bredahl Kock, Anders, Preinerstorfer, David

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Controlling the size of autocorrelation robust tests von Pötscher, Benedikt M., Preinerstorfer, David

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Further results on size and power of heteroskedasticity and autocorrelation robust tests, with an application to trend testing von Pötscher, Benedikt M., Preinerstorfer, David

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ON THE POWER OF INVARIANT TESTS FOR HYPOTHESES ON A COVARIANCE MATRIX von Preinerstorfer, David, Pötscher, Benedikt M.

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Parameter recovery and model selection in mixed Rasch models von Preinerstorfer, David, Formann, Anton K.

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Enhanced power enhancements for testing many moment equalities: Beyond the $2$- and $\infty$-norm von Kock, Anders Bredahl, Preinerstorfer, David

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How to avoid the zero-power trap in testing for correlation von Preinerstorfer, David

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A Modern Gauss-Markov Theorem? Really? von Pötscher, Benedikt M, Preinerstorfer, David

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Valid Heteroskedasticity Robust Testing von Pötscher, Benedikt M, Preinerstorfer, David

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Enhanced power enhancements for testing many moment equalities: Beyond the \(2\)- and \(\infty\)-norm von Kock, Anders Bredahl, Preinerstorfer, David

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How Reliable are Bootstrap-based Heteroskedasticity Robust Tests? von Pötscher, Benedikt M, Preinerstorfer, David

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A remark on moment-dependent phase transitions in high-dimensional Gaussian approximations von Kock, Anders Bredahl, Preinerstorfer, David

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Valid Heteroskedasticity Robust Testing von Pötscher, Benedikt M, Preinerstorfer, David

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How Reliable are Bootstrap-based Heteroskedasticity Robust Tests? von Pötscher, Benedikt M, Preinerstorfer, David

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