ABSTRACT: Few researchers have addressed the issue of the causality between public deficit and economic growth. Previous work has predominantly focused on causality using Granger causality technique ...

Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...

In this repository, using the statistical software R, are been analyzed robust techniques to estimate multivariate linear regression in presence of outliers, using the Bootstrap, a simulation method ...

Abstract: Linear regression is a very simple machine learning model that is supposed to find linear relations between input and output data. Its use is limited since real-world random variables are ...

pwtools is a Python package for pre- and postprocessing of atomistic calculations, mostly targeted to Quantum Espresso, CPMD, CP2K and LAMMPS. It is almost, but not quite, entirely unlike ASE, with ...

In recent years, the importance of accurate time series forecasting has become paramount across a multitude of real-world applications. Whether predicting demand trends or anticipating the spread of ...

Abstract: The advancement of technology has made it increasingly important to analyze essential economic indicators for each nation. These indicators serve as crucial tools for identifying economic ...

Implementing LRR from scratch is harder than using a library like scikit-learn, but it helps you customize your code, makes it easier to integrate with other systems, and gives you a complete ...