5 Alternative methods Besides trimming and winsorizing, there are other methods to deal with outliers in regression, such as transforming the data, using robust estimators, or adding dummy variables.

In this paper, we introduce a closed-form sparse Bayesian kernel Poisson regression (SBKPR) model for count data regression problems based on the sparse Bayesian learning (SBL) approach. In Bayesian ...

Medium density fiberboard (MDF) is one of the most popular products in wood composites industry. Kernel-based regression approaches such as the support vector machine for regression have been used to ...