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Initial enlargement: a Bayesian approach. (English) Zbl 1063.62030

The authors show the connection of the initial enlargement to the concepts of “dynamical Bayesian modelling”. They recall how some initial enlargement results can be obtained using the so-called Girsanov approach. In this approach, the extra information is viewed as a statistical parameter and by defining a suitable statistical experiment one can find a semimartingale decomposition of a semimartingale in a bigger filtration. Examples related to Brownian filtration and to Poisson filtration are presented.

MSC:

62F15 Bayesian inference
62M20 Inference from stochastic processes and prediction
60G35 Signal detection and filtering (aspects of stochastic processes)
60H30 Applications of stochastic analysis (to PDEs, etc.)