Remaining Useful Life Prediction via Information Enhanced Domain Adversarial Generalization.

Variational Inference Optimized Using the Curved Geometry of Coupled Free Energy.

Integrating causal representations with domain adaptation for fault diagnosis.

Robust Estimation and Selection for Degradation Modeling With Inhomogeneous Increments.

Diagnosis and Pathogenic Analysis of Autism Spectrum Disorder Using Fused Brain Connection Graph.

Properties of Standard and Sketched Kernel Fisher Discriminant.

A flexible RUL prediction method based on poly-cell LSTM with applications to lithium battery data.

Minimum f-Divergence Estimation With Applications to Degradation Data Analysis.

The geometric structure on a degradation model with application to optimal design under a cost constraint.

Approximate nonparametric quantile regression in reproducing kernel Hilbert spaces via random projection.

Information Geometry of the Exponential Family of Distributions with Progressive Type-II Censoring.

Debiasing and Distributed Estimation for High-Dimensional Quantile Regression.

Mis-specification analysis of Wiener degradation models by using <i>f</i>-divergence with outliers.

Randomized sketches for kernel CCA.

Geometry on the statistical manifold induced by the degradation model with soft failure data.

Randomized sketches for sparse additive models.

Information Geometry of Generalized Bayesian Prediction Using α-Divergences as Loss Functions.

Bayesian duality and risk analysis on the statistical manifold of exponential family with censored data.

Geometry of an accelerated model with censored data.

Reliability nonparametric Bayesian estimation for the masked data of parallel systems in step-stress accelerated life tests.