The KDE procedure performs either univariate or bivariate kernel density estimation. Statistical density estimation involves approximating a hypothesized probability density function from observed ...
Gordon Lee et al introduce a data-driven and model-agnostic approach for computing conditional expectations. The new method combines classical techniques with machine learning methods, in particular ...
Modal regression focuses on estimating the conditional mode—the most probable outcome—given a set of predictors, thereby offering insights that complement classical mean and quantile regression. By ...
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