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- Piecewise-deterministic_Markov_process abstract "In probability theory, a piecewise-deterministic Markov process (PDMP) is a process whose behaviour is governed by random jumps at points in time, but whose evolution is deterministically governed by an ordinary differential equation between those times. The class of models is "wide enough to include as special cases virtually all the non-diffusion models of applied probability." The process is defined by three quantities: the flow, the jump rate, and the transition measure.The model was first introduced in a paper by Mark H. A. Davis in 1984.".
- Piecewise-deterministic_Markov_process wikiPageID "34494899".
- Piecewise-deterministic_Markov_process wikiPageRevisionID "592794957".
- Piecewise-deterministic_Markov_process hasPhotoCollection Piecewise-deterministic_Markov_process.
- Piecewise-deterministic_Markov_process subject Category:Markov_processes.
- Piecewise-deterministic_Markov_process subject Category:Stochastic_processes.
- Piecewise-deterministic_Markov_process comment "In probability theory, a piecewise-deterministic Markov process (PDMP) is a process whose behaviour is governed by random jumps at points in time, but whose evolution is deterministically governed by an ordinary differential equation between those times.".
- Piecewise-deterministic_Markov_process label "Piecewise-deterministic Markov process".
- Piecewise-deterministic_Markov_process sameAs m.0j24v8y.
- Piecewise-deterministic_Markov_process sameAs Q7191422.
- Piecewise-deterministic_Markov_process sameAs Q7191422.
- Piecewise-deterministic_Markov_process wasDerivedFrom Piecewise-deterministic_Markov_process?oldid=592794957.
- Piecewise-deterministic_Markov_process isPrimaryTopicOf Piecewise-deterministic_Markov_process.