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In probability theory and related fields a stochastic (/stəˈkæstɪk/) or random process is a mathematical object usually defined as a family of random variables in a probability space, where the index of the family often has the interpretation of time. Stochastic processes are widely used as mathematical models of systems and phenomena that appear to vary…
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Stochastic process | is a | collection of S | 0.90 | text |
| Stochastic process | is a | difference between two random variables of the same stochastic process | 0.90 | text |
| Stochastic process | is a | probability measure.For a measurable subset B | 0.90 | text |
| biology | instance of | Stochastic processes have applications in many disciplines | 0.80 | text |
| chemistry | instance of | Stochastic processes have applications in many disciplines | 0.80 | text |
| ecology | instance of | Stochastic processes have applications in many disciplines | 0.80 | text |
| neuroscience | instance of | Stochastic processes have applications in many disciplines | 0.80 | text |
| physics | instance of | Stochastic processes have applications in many disciplines | 0.80 | text |
| image processing | instance of | Stochastic processes have applications in many disciplines | 0.80 | text |
| signal processing | instance of | Stochastic processes have applications in many disciplines | 0.80 | text |
| control theory | instance of | Stochastic processes have applications in many disciplines | 0.80 | text |
| information theory | instance of | Stochastic processes have applications in many disciplines | 0.80 | text |
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