arXiv stat.ML
· Papers
Learning Probabilistic Filters with Strictly Proper Scoring Rules
arXiv:2606.26497v1 Announce Type: cross Abstract: Bayesian filtering of partially and noisily observed dynamical systems seeks to infer the evolving conditional distribution of the state of a dynamical system, given observations, in an online fashion. This Bayesian filtering distribution is the natural object for uncer