- adj. statistics, of a process Exhibiting the Markov property, 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.
- adj. relating to or generated by a Markov process
- Markov + -ian, named for the Russian mathematician Andrey Markov. (Wiktionary)
“It may take a little time to get a clear picture of all factions and interrelationships involved (additionally there's the Markovian society which fell to the Collective) but the conflict is actually well-imagined and intriguing.”
“Markovian start-up demonstration tests with rejection of units upon observing d failures [An article from: European Journal of Operational Research] by D.E.K. Martin”
“The Markovian perspective would hold that an apparently complexly structured piece of reasoning or creating is actually a serial process in which one step entails its successor.”
“Its text is "English reconstituted, based on source text manipulation before feeding it to Markovian process.”
“To get a Markovian your options are limited, given only Nathan Brazil is left.”
“To get the Well World working, they need a Markovian.”
“More recently, Gambetta et al. (2003, 2004) have developed a dynamical modal account in the form of a non-Markovian process with noise, also extending their approach to positive operator-valued measures (POVMs).”
““Interpretation of non-Markovian stochastic SchrÃ¶dinger equations as a hidden-variable theory,” Physical Review A, 68,”
“I meant that the “non-Markovian” neural network would likely prove very predictive in this problem, not the “Markovian” one which would not include any delayed data.”
“The neglected degrees of freedom of the coarse grained variables are responsible for the colored stochastic noise that appears in the actual distribution one is trying to time-evolve or state-evolve, the state evolution is generally non-Markovian so that making a Markov approximation and time evolving it only on the basis of current state is itself an additional source of error and erases the POSSIBILITY of certain kinds of dynamics in the result, etc.”
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