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 ...

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

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) ...

Realty Income has its most attractive valuation in a decade, with more interest rate cuts on the horizon. Discover why I ...

This repository provides an interactive map that displays Eddy Covariance monitoring stations. It visualizes the status of data flow (High-Frequency and Low-Frequency data) for each station, helping ...

memento is a Python package for estimating the mean, variability, and gene correlation from scRNA-seq data as well as contructing a framework for hypothesis testing of differences in these parameters ...

Nevertheless, the traditional ESN and the majority of its variants are devised in the light of the second-order statistical information of data (e.g., variance and covariance), while more information ...

Abstract: There has been a great deal of attention on the online estimations of noise covariance matrices in the Kalman filtering during recent decades. However, the existing methods face challenges ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Dr. JeFreda R. Brown is a financial ...

Although an important greenhouse gas, methane flux in hilly forest ecosystems remains unclear. By using closed-path eddy covariance systems, methane flux was measured continuously from 2017 to 2019 in ...

Brain structural covariance network (SCN) can delineate the brain synchronized alterations in a long-range time period. It has been used in the research of cognition or neuropsychiatric disorders.