University of Birmingham > Talks@bham > Theoretical computer science seminar > Synthetic probability theory

## Synthetic probability theoryAdd to your list(s) Download to your calendar using vCal - Alex Simpson, University of Ljubljana
- Friday 22 May 2020, 14:00-15:00
- https://us02web.zoom.us/j/82603907326.
If you have a question about this talk, please contact Martin Escardo. I shall outline an alternative to the standard set-theoretic formulation of probability theory, based on an axiomatisation of the notion of “random variable” as a primitive concept. The axioms capture desirable properties of random variables, not all of which apply to random variables as usually defined. They are designed to support a streamlined development of probability theory, in which sample spaces play no role and one (almost) never needs to consider sigma-algebras and associated notions of measurability. The approach also gives rise to reasoning principles for the two probabilistically important “equality” relations between random variables: “almost sure equality” and “equality in law”. This talk is part of the Theoretical computer science seminar series. ## This talk is included in these lists:- Computer Science Departmental Series
- Computer Science Distinguished Seminars
- Theoretical computer science seminar
- computer sience
- https://us02web.zoom.us/j/82603907326
Note that ex-directory lists are not shown. |
## Other listsTheoretical computer science seminar Theoretical Physics Seminars Cond. Mat. seminar## Other talksUltrafast, all-optical, and highly efficient imaging of molecular chirality Quantum simulations using ultra cold ytterbium Sensing and metrology activities at NPL, India Hodge Theory: Connecting Algebra and Analysis Modelling uncertainty in image analysis. Geometry of alternating projections in metric spaces with bounded curvature |