The increasing diversity of scientific and engineering data has driven the development of flexible techniques for inferring probability distributions without assuming a specific parametric family.
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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