research
∙
09/21/2023
Causal inference with outcome dependent sampling and mismeasured outcome
Outcome-dependent sampling designs are extensively utilized in various s...
share
research
∙
01/11/2023
A degree-corrected Cox model for dynamic networks
Continuous time network data have been successfully modeled by multivari...
research
∙
11/24/2022
CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion
Semantic scene completion (SSC) aims to complete a partial 3D scene and ...
research
∙
11/18/2022
Wilks' theorems in the β-model
Likelihood ratio tests and the Wilks theorems have been pivotal in stati...
research
∙
01/03/2022
Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet Model
Due to lack of annotated pathological images, transfer learning has been...
research
∙
01/06/2020
Scalable Estimation and Inference with Large-scale or Online Survival Data
With the rapid development of data collection and aggregation technologi...
research
∙
02/16/2018
Learning Latent Features with Pairwise Penalties in Matrix Completion
Low-rank matrix completion (MC) has achieved great success in many real-...
research
∙
07/01/2017