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[Merged by Bors] - feat(probability/martingale): optional sampling theorem #14065
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Co-authored-by: sgouezel <sebastien.gouezel@univ-rennes1.fr>
Co-authored-by: sgouezel <sebastien.gouezel@univ-rennes1.fr>
Co-authored-by: sgouezel <sebastien.gouezel@univ-rennes1.fr>
…athlib into optional_sampling
Thanks for the review, and sorry for all the useless assumptions! That code changed a lot over time and I did not catch all the simplifications. |
bors r+ |
We prove the optional sampling theorem: if `τ` is a bounded stopping time and `σ` is another stopping time, then the value of a martingale `f` at the stopping time `min τ σ` is almost everywhere equal to `μ[stopped_value f τ | hσ.measurable_space]`. Co-authored-by: RemyDegenne <remydegenne@gmail.com> Co-authored-by: Rémy Degenne <remydegenne@gmail.com>
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We prove the optional sampling theorem: if
τ
is a bounded stopping time andσ
is another stopping time, then the value of a martingalef
at the stopping timemin τ σ
is almost everywhere equal toμ[stopped_value f τ | hσ.measurable_space]
.mem_ℒp_stopped_value
#16369ae_restrict_Union_eq
#16370