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DTSTART;VALUE=DATE:20270531
DTEND;VALUE=DATE:20270603
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SUMMARY:Bayesian Inference in Stochastic Processes
DESCRIPTION:The Bayesian Inference in Stochastic Processes (BISP) workshop will provide an opportunity to review\, discuss and explore directions of development of Bayesian Inference in Stochastic Processes and in the use of Stochastic Processes for Bayesian Inference. The Workshop will encourage discussion and promote further research in these fields. Theoretical and applied contributions are both welcome. A non-exhaustive list of topics includes Markov processes\, state-space models\, spatial\, empirical\, birth-death and branching processes\, queueing\, population modelling\, signal processes\, stochastic differential equations. The Workshop will thus be of interest to researchers and workers in both Bayesian Inference and Stochastic Processes.
URL:https://bayesian.org/event/bayesian-inference-in-stochastic-processes/
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