ABSTRACT: Variable selection using penalized estimation methods in quantile regression models is an important step in screening for relevant covariates. In this paper, we present a one-step estimation ...

Linear Regression Practice Using Python This study involves practical application of regression analysis, as covered in the Google Advanced Data Analytics course. For more information, you may refer ...

Fuzzy regression models extend traditional statistical regression by integrating fuzzy set theory to better handle imprecision and uncertainty inherent in many real-world data sets. These models ...

Abstract: This document offers an overview of fundamental functionalities within the Python Control Systems Library (python-control), a software tool in Python tailored for designing control systems.

ABSTRACT: This paper applies the novel adaptive learning methodology to forecast agricultural and energy prices in Greece’s volatile, data-scarce markets. We combine traditional ordinary least squares ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

article{londschien2025, title={Domain Generalization and Adaptation in Intensive Care with Anchor Regression}, author={Londschien, Malte, Burger, Manuel, R{\"a}tsch ...

Abstract: Strength system optimization is a challenging trouble, because it entails a couple of objectives, constraints, records, and variables. Historically, linear regression fashions including ...