Understanding the Least Squares Criterion for Accurate Data Fitting

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.
GitHub

Pyvisco is a Python library that supports the identification of Prony series parameters for Generalized Maxwell models describing linear viscoelastic materials.

The mechanical response of linear viscoelastic materials is often described with Generalized Maxwell models. The necessary material model parameters are typically identified by fitting a Prony series ...
IEEE

Identification of Continuous-Time Linear Parameter Varying Systems With Noisy Scheduling Variable Using Local Regression

Abstract: Some nonlinear systems can be represented through linear parameter varying models. In this work, we address the estimation of continuous-time linear ...
IEEE

Analysis of Neural Network Algorithm in Comparison to Multiple Linear Regression and Random Forest Algorithm

Abstract: Regression analysis, a stalwart in statistical methodology, offers a robust framework for predicting outcomes based on historical data. It hinges on the premise that by scrutinizing past ...