Empirical CDFs as approximate belief propagation updates.
References
Grooms, Ian, and Gregor Robinson. 2021. “A Hybrid Particle-Ensemble Kalman Filter for Problems with Medium Nonlinearity.” PLOS ONE 16 (3): e0248266.
Naesseth, Christian Andersson, Fredrik Lindsten, and Thomas B Schön. 2014. “Sequential Monte Carlo for Graphical Models.” In Advances in Neural Information Processing Systems. Vol. 27. Curran Associates, Inc.
Naesseth, Christian, Fredrik Lindsten, and Thomas Schon. 2015. “Nested Sequential Monte Carlo Methods.” In Proceedings of the 32nd International Conference on Machine Learning, 1292–1301. PMLR.
Paige, Brooks, and Frank Wood. 2016. “Inference Networks for Sequential Monte Carlo in Graphical Models.” In Proceedings of The 33rd International Conference on Machine Learning, 3040–49. PMLR.
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