代文林，中国人民大学统计与大数据研究院预聘副教授，国家治理大数据和人工智能创新平台副主任。主要研究方向为非参数统计、复杂数据分析与应用统计。以主要作者身份在Journal of the American Statistical Association ...

Abstract: Covariance matrix estimation is of great importance in statistical signal processing. This paper considers covariance matrix estimation from correlated ...

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python ...

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation ...

Methods: To address these problems, in this paper, a new classification framework is proposed by combining the Group-constrained topology structure detection with sparse inverse covariance estimation ...

A new study reveals advanced methods for improving orbit determination (OD) of large constellations of Low Earth Orbit (LEO) satellites, utilizing Global Navigation Satellite System (GNSS) ...

Here, in our study, neuroimaging with network analysis was employed to evaluate the changes of structural covariance networks (SCNs) in BCP children. We aimed to elucidate the alteration of SCNs based ...

A 96-week clinical trial found that 300 mg of Vitamin E significantly improved liver histology and reduced inflammation in ...

Innovative orbit determination techniques enhance LEO satellite constellations' accuracy and efficiency using GNSS data and inter-satellite range measurements.

USA: A recent study published in the journal Nutrients has highlighted the potential benefits of mango consumption in ...

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, ...