arXiv stat.ML
· Papers
Hierarchical Variational Kalman Filtering
arXiv:2607.00877v1 Announce Type: new Abstract: Traditional variational Kalman filtering with unknown noise statistics suffers from inconsistent process covariance estimation and slow convergence speed, limiting its practical utility. To address these issues, we introduce a surrogate variable representing the process-n