27-28 May 2021

The Bayesian Inference in Stochastic Processes 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.

Video Recordings of the live conference can be found using the WORKSHOP Navigation Menu

available hereA video extract from the Workshop


Invited Talks

Ten presentations by young scientists have been scheduled this year, followed by an in-depth discussion by senior scholars in the field


Different Countries



Call for contributions

BISP12 welcomed the submission of contributed virtual posters. Abstracts were submitted from Register and Submit section where instructions and templates were available.
Posters were presented as pre-recorded video and made available on the BISP12 website.

Abstract submission

25 Apr 2021

Acceptance notification

30 Apr 2021

Contribution submission

26 May 2021

Workshop Programme

Attendance is free of charge

but registration is required.


Day 1

27 May 2021

13.55-14.00 Opening
14.00-14.40 Talk 1: Clara Grazian
14.45-15.25 Talk 2: Kaoru Irie
15.30-16.10 Talk 3: Stéphanie Van Der Pas
16.15-16.55 Talk 4: Atilla Ay
17.00-17.40 Talk 5: Andrew Holbrook
17.45-18.35 Contributors

Detailed Program

Day 2

28 May 2021

13.00-13.50 Contributors
14.00-14.40 Talk 6: Paul Wu
14.45-15.25 Talk 7: Roi Naveiro
15.45-16.25 Talk 8: Andi Wang
16.30-17.10 Talk 9: Giovanni Rebaudo
17.15-17.55 Talk 10: Claudia Solis-Lemus
18.00-18.05 Closing

Detailed Program
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