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- Markov_kernel abstract "In probability theory, a Markov kernel (or stochastic kernel) is a map that plays the role, in the general theory of Markov processes, that the transition matrix does in the theory of Markov processes with a finite state space.".
- Markov_kernel wikiPageID "21180014".
- Markov_kernel wikiPageRevisionID "600594842".
- Markov_kernel hasPhotoCollection Markov_kernel.
- Markov_kernel subject Category:Stochastic_processes.
- Markov_kernel type Abstraction100002137.
- Markov_kernel type Cognition100023271.
- Markov_kernel type Concept105835747.
- Markov_kernel type Content105809192.
- Markov_kernel type Hypothesis105888929.
- Markov_kernel type Idea105833840.
- Markov_kernel type Model105890249.
- Markov_kernel type PsychologicalFeature100023100.
- Markov_kernel type StochasticProcess113561896.
- Markov_kernel type StochasticProcesses.
- Markov_kernel comment "In probability theory, a Markov kernel (or stochastic kernel) is a map that plays the role, in the general theory of Markov processes, that the transition matrix does in the theory of Markov processes with a finite state space.".
- Markov_kernel label "Markov kernel".
- Markov_kernel sameAs m.05b_zsc.
- Markov_kernel sameAs Q6771323.
- Markov_kernel sameAs Q6771323.
- Markov_kernel sameAs Markov_kernel.
- Markov_kernel wasDerivedFrom Markov_kernel?oldid=600594842.
- Markov_kernel isPrimaryTopicOf Markov_kernel.