time-series-7
Sequential Bayesian Inference
3260 papers • 126 benchmarks • 313 datasets
Also known as Bayesian filtering or recursive Bayesian estimation, this task aims to perform inference on latent state-space models.
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Most implemented papers
Particle Flow Bayes' Rule
H. Dai, Le Song, Xinshi Chen•Fri Feb 01 2019
It is proved that an ODE-based neural operator used to transport particles from a prior to its posterior after a new observation exists, and its neural parameterization can be trained in a meta-learning framework, allowing this operator to generalize across different priors, observations and to sequential Bayesian inference.
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