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We here propose a nonparametric method for fitting a quadratic regression.
We also propose a nonparametric method for optimal smoothing kernel width selection.
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We also proposed a nonparametric method for optimal smoothing kernel width selection that produces results for a much larger set of images than that from which they were learned.
Chen et al. [ 5] proposed a nonparametric method for detecting differentially methylated loci and suggested its application in cancer diagnosis and classification.
In this paper, we propose a nonparametric method to detect differentially methylated loci under multiple conditions for Illumina Array Methylation data.
In this paper, we propose a nonparametric method that uses frequency-domain data to directly design a robust controller, for a class of uncertainties, without the need for model identification.
Hong, Wang and Wang (2017, International Economic Review) propose a model-free test for strict stationarity for time series data against alternatives of evolutionary structural changes, and Sun, Hong and Wang (2018, Working paper) proposes a nonparametric method to distinguish whether a structural change in a time series data, if any, is abrupt structural break or smooth structural change.
In the present paper we introduce a partially sequential sampling procedure to develop a nonparametric method for simultaneous testing.
Model-based matching is a nonparametric method for matching which groups observations that would be alike if none had received the treatment.
We develop a nonparametric method for estimation of the new agreement coefficients when observers make replicated readings on each subject.
SAMseq is a nonparametric method for finding DE.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com