Languages
Stroock, Daniel W.
Overview
| Works: | 1 works in 6 publications in 1 languages | |
|---|---|---|
Titles
Essentials of integration theory for analysis /
by:
Stroock, Daniel W.; Stroock, Daniel W.
(Language materials, printed)
Elements of stochastic calculus and analysis
by:
Stroock, Daniel W.; SpringerLink (Online service)
(Electronic resources)
Essentials of integration theory for analysis
by:
Stroock, Daniel W.; SpringerLink (Online service)
(Electronic resources)
A Concise introduction to the theory of integration /
by:
Stroock, Daniel W.
(Language materials, printed)
Gaussian measures in finite and infinite dimensions
by:
Stroock, Daniel W.; SpringerLink (Online service)
(Electronic resources)
An introduction to Markov processes
by:
Stroock, Daniel W.; SpringerLink (Online service)
(Electronic resources)
A concise introduction to analysis
by:
Stroock, Daniel W.; SpringerLink (Online service)
(Electronic resources)
Multidimensional diffusion processes /
by:
Varadhan, S. R. S.; Stroock, Daniel W.
(Language materials, printed)
Large deviations /
by:
Stroock, Daniel W.; Deuschel, Jean-Dominique, (1957-)
(Language materials, printed)
An Introduction to Markov Processes
by:
SpringerLink (Online service); Stroock, Daniel W.
(Language materials, printed)
Partial differential equations for probabilists [sic] /
by:
Stroock, Daniel W.
(Language materials, printed)
An Introduction to the theory of large deviations /
by:
Stroock, Daniel W.
(Language materials, printed)
An introduction to the analysis of paths on a Riemannian manifold /
by:
Stroock, Daniel W.
(Language materials, printed)
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Subjects
Stochastic difference equations.
Associative Rings and Algebras.
Diffusion processes.
Large deviations.
Ito, Kiyosi,- Contributions in probabilities.
Markov processes.
Probability Theory and Stochastic Processes.
Stochastic analysis.
Differential equations, Elliptic.
Riemannian manifolds.
Mathematics.
Integration, Functional.
Analysis.
Integrals, Generalized.
Dynamical Systems and Ergodic Theory.
Associative rings.
Gaussian measures.
Probability Theory.
Probabilities.
Differential equations, Parabolic.
Fourier analysis.
Mathematical analysis.
Measure and Integration.
Measure theory.
Differential equations, Partial.
Brownian motion processes.
Rings (Algebra)
Geometry.