3 papers
stat.ML2026
SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data
Jie Min, Yueyao Wang, Mengkun Chen
Competing risks are commonly observed in engineering fields and can bring challenges to time-to-event data modeling when the application scenarios are complicated. Recently, deep n…
stat.AP2025
Modeling Spatially Correlated Failure-time Data Under Two Distance Functions with an Application to Titan GPU Data
Jared M. Clark, Jie Min, Yueyao Wang +2
One common approach to statistical analysis of spatially correlated data relies on defining a correlation structure based solely on unknown parameters and the physical distance bet…
stat.ME2025
The Use of Variational Inference for Lifetime Data with Spatial Correlations
Yueyao Wang, Yili Hong, Laura Freeman +1
Lifetime data with spatial correlations are often collected for analysis in modern engineering, clinical, and medical applications. For such spatial lifetime data, statistical mode…