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- Q3730881 subject Q7068696.
- Q3730881 subject Q7478371.
- Q3730881 abstract "In probability theory, Kolmogorov equations, including Kolmogorov forward equations and Kolmogorov backward equations, characterize random dynamic processes. Suppose we have a complete statistical description of a stochastic process x(t) and know some transformation (for example, velocity ) which defines a new process y(t) related to x(t). Then the Kolmogorov equations are a means for determining features of the stochastic process y(t).".
- Q3730881 wikiPageWikiLink Q153224.
- Q3730881 wikiPageWikiLink Q163214.
- Q3730881 wikiPageWikiLink Q176720.
- Q3730881 wikiPageWikiLink Q176737.
- Q3730881 wikiPageWikiLink Q178036.
- Q3730881 wikiPageWikiLink Q201426.
- Q3730881 wikiPageWikiLink Q3366755.
- Q3730881 wikiPageWikiLink Q3922411.
- Q3730881 wikiPageWikiLink Q471816.
- Q3730881 wikiPageWikiLink Q5862903.
- Q3730881 wikiPageWikiLink Q6095358.
- Q3730881 wikiPageWikiLink Q6427428.
- Q3730881 wikiPageWikiLink Q7068696.
- Q3730881 wikiPageWikiLink Q722878.
- Q3730881 wikiPageWikiLink Q722882.
- Q3730881 wikiPageWikiLink Q7478371.
- Q3730881 wikiPageWikiLink Q7991.
- Q3730881 wikiPageWikiLink Q891766.
- Q3730881 comment "In probability theory, Kolmogorov equations, including Kolmogorov forward equations and Kolmogorov backward equations, characterize random dynamic processes. Suppose we have a complete statistical description of a stochastic process x(t) and know some transformation (for example, velocity ) which defines a new process y(t) related to x(t). Then the Kolmogorov equations are a means for determining features of the stochastic process y(t).".
- Q3730881 label "Kolmogorov equations".