Classical probability theory : an outline of stochastic integrals and diffusions

This series of short lectures presents in a dense, elegant and clear way the fundamental notions and facts of classical stochastic calculus, with some enlightning examples. The choice of not including the proofs allows, as a counterpart, to develop the theory in few pages, and to stress more on intuitive ideas than on technics. Thus, in six beautiful lectures, are introduced and discussed successively: Brownian motions; martingales; semimartingales; stochastic integration; Itô's formula; stochastic differential equations; Markov processes; diffusions and flows; iterated stochastic integrals; chaotic representation; structure equations for normal martingales.

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Additional Info

Field Value
Source Quantum probability communications
Author Emery, Michel
Maintainer CCSD
Last Updated May 5, 2026, 17:55 (UTC)
Created May 5, 2026, 17:55 (UTC)
Identifier hal-00097095
Language en
contributor Institut de Recherche Mathématique Avancée (IRMA) ; Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS)
coverage Grenoble, France
creator Emery, Michel
date 2003-05-05T00:00:00
harvest_object_id da5288b6-00ad-466c-99de-4f8643e1a0d0
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-06-04T00:00:00
set_spec type:COMM