markovian process
1Markovian process — Markovo vyksmas statusas T sritis fizika atitikmenys: angl. Markov process; Markovian process vok. Markow Prozeß, m; Markowscher Prozeß, m rus. марковский процесс, m; процесс Маркова, m pranc. processus de Markoff, m; processus marcovien, m;… …
2Markovian arrival processes — In queueing theory, Markovian arrival processes are used to model the arrival of customers to a queue. Some of the most common include the Poisson process, Markov arrival process and the batch Markov arrival process. Contents 1 Background 2… …
3Markovian — adjective relating to or generated by a Markov process • Pertains to noun: ↑Markov process • Derivationally related forms: ↑Markov …
4Markovian — or Markov; also Markoff adjective Date: 1944 of, relating to, or resembling a Markov process or Markov chain especially by having probabilities defined in terms of transition from the possible existing states to other states …
5Markovian — adjective maɹˈkoʊviən Exhibiting the , in which the conditional probability distribution of future states of the process, given the present state and all past states, depends only upon the present state and not on any past states …
6Markov process — In probability theory and statistics, a Markov process, named after the Russian mathematician Andrey Markov, is a time varying random phenomenon for which a specific property (the Markov property) holds. In a common description, a stochastic… …
7Markov process — Markovo vyksmas statusas T sritis fizika atitikmenys: angl. Markov process; Markovian process vok. Markow Prozeß, m; Markowscher Prozeß, m rus. марковский процесс, m; процесс Маркова, m pranc. processus de Markoff, m; processus marcovien, m;… …
8Markov decision process — Markov decision processes (MDPs), named after Andrey Markov, provide a mathematical framework for modeling decision making in situations where outcomes are partly random and partly under the control of a decision maker. MDPs are useful for… …
9Poisson process — A Poisson process, named after the French mathematician Siméon Denis Poisson (1781 ndash; 1840), is the stochastic process in which events occur continuously and independently of one another (the word event used here is not an instance of the… …
10Partially observable Markov decision process — A Partially Observable Markov Decision Process (POMDP) is a generalization of a Markov Decision Process. A POMDP models an agent decision process in which it is assumed that the system dynamics are determined by an MDP, but the agent cannot… …
