Aug 1, 2022 · As complementary to traditional mean regression model, the new nonparametric modal regression model is more robust when data contains outliers ...

Aug 1, 2022 · In this article, we propose a novel nonparametric statistical learning tool based on modal regression, which can complement the standard mean and quantile ...

This paper studies the nonparametric modal regression problem systematically from a statistical learning viewpoint.

This paper studies the nonparametric modal regression problem systematically from a statistical learning viewpoint. Originally motivated by pursuing a ...

Dec 4, 2014 · We study a simple nonparametric method for modal regression, based on a kernel density estimate (KDE) of the joint distribution of Y and X.

We study a simple nonparametric method for modal regression, based on a kernel density estimate (KDE) of the joint dis- tribution of Y and X. We derive ...

Mar 18, 2024 · Researchers have used non-parametric regression to understand phenomena that emerge in large machine learning systems.

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Aug 16, 2016 · Non-parametric methods are those if it makes no assumption on the population distribution or sample size to generate a model.

Nonparametric Modal Regression Based on Random Forest ... Modal regression is a more robust regression model when compared with traditional linear regressions.