Note (2025/09/18): We got accepted by NeurIPS 2025 and it's spotlighted! 🎉🎉🎉 The code are ready to play, enjoy!

Commonly used linear regression focuses only on the effect on the mean value of the dependent variable and may not be useful in situations where relationships across the distribution are of interest.

This technical note presents the Reverse Method, a novel indirect approach for estimating the global value-added tax (VAT) compliance gap. The Reverse Method leverages public datasets and a calibrated ...

Accurate dietary assessment plays a crucial role in public health by providing the evidence base needed to design, implement, and evaluate nutrition-related policies and interventions. Reliable ...

Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems, School of Engineering, Huzhou University, Huzhou 313000, PR China Zhejiang Key Laboratory of Industrial Solid ...

Journal of Nuclear Medicine Technology September 2025, jnmt.125.270100; DOI: https://doi.org/10.2967/jnmt.125.270100 ...

A simple implementation of the Nadaraya-Watson kernel regression estimator for usage with scikit-learn. Please note that the parameterization is slightly different from this other library. In my ...

Linear regression remains a cornerstone of statistical analysis, offering a framework for modelling relationships between a dependent variable and one or more independent predictors. Over the past ...

Take advantage of the MethodImplAttribute class in C# to inline methods and improve the execution speed of your .NET applications. The Just-In-Time (JIT) compiler is a component of the Common Language ...

Abstract: Scanning Electron Microscopy (SEM) images often suffer from noise contamination, which degrades image quality and affects further analysis. This research presents a complete approach to ...