Land subsidence, a significant geological hazard caused by natural and human activities, has become increasingly complex and ...

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 ...

A stochastic correlation approach using copula functions offers a flexible alternative. By allowing correlations to vary ...

Leveraging these estimated distributions as priors, the generalized-Gaussian cyclic variational autoencoder is then developed to infer domain-shared representations. The process is steered by a ...

Understanding how cells transform into specialized types during human development is a central challenge in biology. This complex process, known as cell differentiation, holds the key to understanding ...

Abstract: In this letter, a Model Predictive Control (MPC) approach based on the Incremental Sparse Gaussian Process (ISGP) is designed for trajectory tracking of Unmanned Underwater Vehicles (UUVs).

Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA, United States In this work, we propose a new Gaussian process (GP) regression framework that enforces the physical ...

Vaishnaw said the most sophisticated of India's initial semiconductors will be built on a 28nm process. The world's most advanced chipmakers are currently working on 2nm processes. However, plenty of ...

This study evaluates the effectiveness of the multi-task Gaussian process (MTGP) based on the linear model of coregionalization (LMC) for imputing missing daily rainfall data in Burkina Faso, ...