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How to run R-style linear regressions in Python the easy way

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can use R-style formulas. First, you need to import statsmodels and its ...
IEEE

Gradient Boosting With Moving-Average Terms for Nonlinear Sequential Regression

Abstract: We investigate sequential nonlinear regression and introduce a novel gradient boosting algorithm that exploits the residuals, i.e., prediction errors, as additional features, as inspired by ...
GitHub

non-parametric-regression

Ce projet en R porte sur l’étude de la densité g et de la fonction de régression r de données où les xi et les yi sont les réalisations de variables aléatoires réelles ...
IEEE

Identification of Nonlinear Dynamical Systems: When Deep Koopman Operator Meets Incremental Gaussian Process Regression

Abstract: This article proposes a deep Koopman-based identification method for nonlinear dynamical systems with modeling residuals learned recursively by incremental Gaussian process regression (IGPR) ...