An explicit third-order median bias-corrected estimator is proposed for smooth scalar focus parameters via Cornish-Fisher expansion of the MLE.
Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned
3 Pith papers cite this work. Polarity classification is still indexing.
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Unifying framework for CTree, MOB and GUIDE shows model scores without dichotomization yield higher power for covariate selection than residuals or dichotomized scores in many scenarios.
Photometric redshift uncertainties bias Anderson-Darling and Gaussian-mixture tests toward relaxed cluster classifications, with Gaussian errors producing ~95% relaxed recovery versus ~5% for unrelaxed clusters.
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Focused median bias reduction
An explicit third-order median bias-corrected estimator is proposed for smooth scalar focus parameters via Cornish-Fisher expansion of the MLE.
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The Power of Unbiased Recursive Partitioning: A Unifying View of CTree, MOB, and GUIDE
Unifying framework for CTree, MOB and GUIDE shows model scores without dichotomization yield higher power for covariate selection than residuals or dichotomized scores in many scenarios.