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: The problem of asymptotic state reconstruction of systems characterized by nonlinear state-output maps is investigated in this paper. The approach here presented is based on the ...

In this paper D-optimal designs for the weighted polynomial regression model of degree p with efficiency function (1 + x 2)-n are presented. Interest in these designs stems from the fact that they are ...

The goal of this library is to construct polynomial and rational approximations given a collection of point data consisting of pairs of inputs and outputs that minimizes (for example) The ultimate ...

How an input series enters the model is called its transfer function. Thus, ARIMA models with input series are sometimes referred to as transfer function models. In the preceding regression and ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...