Languages
Stroock, Daniel W.
Overview
| Works: | 1 works in 6 publications in 1 languages | |
|---|---|---|
Titles
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.; Stroock, Daniel W.
(Language materials, printed)
Gaussian measures in finite and infinite dimensions
by:
Stroock, Daniel W.; SpringerLink (Online service)
(Electronic resources)
A Concise introduction to the theory of integration /
by:
Stroock, Daniel W.
(Language materials, printed)
Essentials of integration theory for analysis
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)
Partial differential equations for probabilists [sic] /
by:
Stroock, Daniel W.
(Language materials, printed)
An Introduction to Markov Processes
by:
SpringerLink (Online service); 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)
Show more
Fewer
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.
Probability theory and stochastic processes -- Foundations of probability theory -- None of the above, but in this section.
Differential equations, Elliptic.
Riemannian manifolds.
Probability theory and stochastic processes -- Markov processes -- None of the above, but in this section.
Mathematics.
Integration, Functional.
Analysis.
Probability theory and stochastic processes -- Stochastic processes -- Martingales with discrete parameter.
Integrals, Generalized.
Dynamical Systems and Ergodic Theory.
Associative rings.
Gaussian measures.
Probability Theory.
Probability theory and stochastic processes -- Stochastic processes -- Martingales with continuous parameter.
Probabilities.
Differential equations, Parabolic.
Fourier analysis.
Mathematical analysis.
Probability theory and stochastic processes -- Markov processes -- Markov chains (discrete-time Markov processes on discrete state spaces).
Measure and Integration.
Stochastic processes.
Measure theory.
Differential equations, Partial.
Brownian motion processes.
Rings (Algebra)
Geometry.