Diffusion Processes and Their Sample Paths
E1511327
UNEXPLORED
"Diffusion Processes and Their Sample Paths" is a foundational mathematical monograph that rigorously develops the theory of diffusion processes and their path properties within the framework of stochastic analysis and probability theory.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Diffusion Processes and Their Sample Paths canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T21972873 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diffusion Processes and Their Sample Paths Context triple: [Daniel Stroock, notableWork, Diffusion Processes and Their Sample Paths]
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A.
"Continuous Markov Processes and Stochastic Equations"
"Continuous Markov Processes and Stochastic Equations" is a foundational mathematical work that rigorously develops the theory of continuous-time Markov processes and their representation via stochastic differential equations.
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B.
Lyons' rough path theory
Lyons' rough path theory is a mathematical framework that extends classical calculus to analyze and solve differential equations driven by highly irregular signals, such as paths with low regularity or stochastic processes like Brownian motion.
-
C.
Stochastic Differential Equations and Applications
"Stochastic Differential Equations and Applications" is a foundational mathematical text by Avner Friedman that develops the theory and diverse applications of stochastic differential equations.
-
D.
Processus stochastiques et mouvement brownien
Processus stochastiques et mouvement brownien is a foundational mathematical work by Paul Lévy that develops the theory of stochastic processes and Brownian motion.
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E.
The Mathematics of Diffusion
The Mathematics of Diffusion is a classic scientific monograph by John Crank that rigorously develops the theory and mathematical methods for analyzing diffusion processes in physics, chemistry, and engineering.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diffusion Processes and Their Sample Paths Target entity description: "Diffusion Processes and Their Sample Paths" is a foundational mathematical monograph that rigorously develops the theory of diffusion processes and their path properties within the framework of stochastic analysis and probability theory.
-
A.
"Continuous Markov Processes and Stochastic Equations"
"Continuous Markov Processes and Stochastic Equations" is a foundational mathematical work that rigorously develops the theory of continuous-time Markov processes and their representation via stochastic differential equations.
-
B.
Lyons' rough path theory
Lyons' rough path theory is a mathematical framework that extends classical calculus to analyze and solve differential equations driven by highly irregular signals, such as paths with low regularity or stochastic processes like Brownian motion.
-
C.
Stochastic Differential Equations and Applications
"Stochastic Differential Equations and Applications" is a foundational mathematical text by Avner Friedman that develops the theory and diverse applications of stochastic differential equations.
-
D.
Processus stochastiques et mouvement brownien
Processus stochastiques et mouvement brownien is a foundational mathematical work by Paul Lévy that develops the theory of stochastic processes and Brownian motion.
-
E.
The Mathematics of Diffusion
The Mathematics of Diffusion is a classic scientific monograph by John Crank that rigorously develops the theory and mathematical methods for analyzing diffusion processes in physics, chemistry, and engineering.
- F. None of above. chosen
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.