AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...

The way urban areas are designed could impact cardiometabolic health. However, findings in this research area are often abstract, which restricts their implementation in urban design practice. To ...

AAEA invites media to attend their sessions at the ASSA 2026 Annual Meeting in Philadelphia, PA. On Sunday, January 4, 2026 at 8:00 am ? 10:00 am (EST) at the Marriott Philadelphia Downtown, four AAEA ...

ABSTRACT: Stable distributions are well-known for their desirable properties and can effectively fit data with heavy tail. However, due to the lack of an explicit probability density function and ...

Linux stands at the heart of countless operating systems, driving everything from personal computers to servers and embedded systems across the globe. Its flexibility and open-source nature allow for ...

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...

In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning method, ...

1 Shenzhen Power Supply Company, China Southern Power Grid, Shenzhen, China 2 Electric Power Research Institute, China Southern Power Grid, Guangzhou, China The universality of load subjects in ...