4 papers
REAMP: A Stochastic Resonance Approach for Multi-Change Point Detection in High-Dimensional Data
Xiaoping Shi, Baisuo Jin, Xianhui Liu +1
Detecting multiple structural breaks in high-dimensional data remains a challenge, particularly when changes occur in higher-order moments or within complex manifold structures. In…
Asymptotic linear dependence and ellipse statistics for multivariate two-sample homogeneity test
Chifeng Shen, Yuejiao Fu, Michael Chen +1
Statistical depth, which measures the center-outward rank of a given sample with respect to its underlying distribution, has become a popular and powerful tool in nonparametric inf…
Product Depth for Temporal Point Processes Observed Only Up to the First k Events
Chifeng Shen, Yuejiao Fu, Xiaoping Shi +1
Temporal point processes (TPPs) model the timing of discrete events along a timeline and are widely used in fields such as neuroscience and fi- nance. Statistical depth functions a…
Modeling Long Sequences in Bladder Cancer Recurrence: A Comparative Evaluation of LSTM,Transformer,and Mamba
Runquan Zhang, Jiawen Jiang, Xiaoping Shi
Traditional survival analysis methods often struggle with complex time-dependent data,failing to capture and interpret dynamic characteristics adequately.This study aims to evaluat…