Abstract: Polynomial regression model is very important in the modeling and characterization of sensors. The uncertainty propagation through the polynomial nonlinearity can only be estimated through ...

This repository contains Python code for performing polynomial regression using gradient descent, implemented with PyTorch, as required for Assignment 1. The code provides functions for polynomial ...

Abstract: In this paper, we focus on denoising images for which observations are equally spaced except around the boundaries which are irregular. Such images are very common in many fields, for ...

In this project, we explore polynomial regression to predict salaries based on position levels. We use a dataset containing position levels and corresponding salaries to train our model. The goal is ...

Treatment effect estimates in regression discontinuity (RD) designs are often sensitive to the choice of bandwidth and polynomial order, the two important ingredients of widely used local regression ...

1 Department of Statistics, College of Arts and Science, University of Benghazi, Benghazi, Libya. 2 Department of Mathematics, College Arts and Science, University of Benghazi, Benghazi, Libya. 3 ...