
Definition of Markovian
1. Adjective. Relating to or generated by a Markov process.
Definition of Markovian
1. Adjective. (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. ¹
2. Adjective. (alternative capitalization of Markovian) ¹
¹ Source: wiktionary.com
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Lexicographical Neighbors of Markovian
Literary usage of Markovian
Below you will find example usage of this term as found in modern and/or classical literature:
1. Geometry and Identification: Proceedings of Apsm Workshop on System Geometry by Peter E. Caines, Robert Hermann (1983)
"GENERAL Markovian SYSTEM SPECIFICATION. Let X be a Polish state space and Ua
Polish control set. We also have a finite set A ..."
2. Modeling of Monthly Intermittent Streamflow Processes by DIANE Publishing Company (1993)
"Appendix С SOAR PROCESS IS HARROVIAN The binary sequence {X } is said to be
Markovian of order one if "• » the following condition probability holds true ..."
3. Statistics and Science: A Festschrift for Terry Speed by T. P. Speed, Darlene Renee Goldstein (2003)
"If the manifold and the associated simplicial decomposition have suitable symmetry
properties, then the resulting process on the simplex will be Markovian. ..."
4. Stochastic Orders and Decision Under Risk by Karl C. Mosler, Marco Scarsini (1991)
"The basic paradigm for Markovian queueing network theory is to analyze the time
evolution of the queue length process, given its initial distribution and ..."
5. Statistics, Probability, and Game Theory: Papers in Honor of David Blackwell by David Blackwell, Thomas Shelburne Ferguson, Lloyd S. Shapley, James B. MacQueen (1996)
"Independently, Blackwell [1962, 1965] initiated the systematic study of Markovian
decision processes. He investigated the nature of optimal policies for ..."
6. Bayesian Robustness: Proceedings of the Workshop on Bayesian Robustness, May by James O. Berger (1996)
"... form to emphasize their Markovian nature; we would like to recommend the wider
use of Markovian prior distributions in nonparametric Bayesian analysis, ..."