A diffusion score matching based Kalman filter is developed for robust ensemble filtering under observation noise misspecification, with theoretical guarantees and ensemble implementations tested on Lorenz systems.
On the convergence of two sequential Monte Carlo methods for maximum a posteriori sequence estimation and stochastic global optimization.Statistics and Computing, 23:91–107, 2013
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.ST 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Robust ensemble Kalman filtering under observation noise misspecification via diffusion score matching
A diffusion score matching based Kalman filter is developed for robust ensemble filtering under observation noise misspecification, with theoretical guarantees and ensemble implementations tested on Lorenz systems.