GitHub

AKDE: Multivariate Adaptive Kernel Density Estimation Using Gaussian Mixture Model

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 ...
EurekAlert!

Parametric urban design: A promising method to create daily environments supporting health

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 ...
IEEE

Bayes and Biased Estimators Without Hyper-Parameter Estimation: Comparable Performance to the Empirical-Bayes-Based Regularized Estimator

Abstract: Regularized system identification has become a significant complement to more classical system identification. It has been numerically shown that kernel-based regularized estimators often ...
Le Lézard

George Judge: 100 and Counting. Econometrics in Agricultural and Applied Economics

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 ...
IEEE

Monthly Probability Theoretical Line Loss Calculation Method of Low Voltage Distribution Network Based on Simultaneous Power and Electricity

Abstract: The probability analysis method of theoretical line loss (TLL) is an emerging TLL assessment method in recent years, which can consider the impact of random changes in load, power source, ...