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- Markov_property abstract "In probability theory and statistics, the term Markov property refers to the memoryless property of a stochastic process. It is named after the Russian mathematician Andrey Markov.A stochastic process has the Markov property if the conditional probability distribution of future states of the process (conditional on both past and present values) depends only upon the present state, not on the sequence of events that preceded it. A process with this property is called a Markov process. The term strong Markov property is similar to the Markov property, except that the meaning of "present" is defined in terms of a random variable known as a stopping time. Both the terms "Markov property" and "strong Markov property" have been used in connection with a particular "memoryless" property of the exponential distribution.The term Markov assumption is used to describe a model where the Markov property is assumed to hold, such as a hidden Markov model.A Markov random field extends this property to two or more dimensions or to random variables defined for an interconnected network of items. An example of a model for such a field is the Ising model.A discrete-time stochastic process satisfying the Markov property is known as a Markov chain.".
- Markov_property wikiPageID "306422".
- Markov_property wikiPageRevisionID "601524892".
- Markov_property hasPhotoCollection Markov_property.
- Markov_property subject Category:Markov_models.
- Markov_property subject Category:Markov_processes.
- Markov_property type Assistant109815790.
- Markov_property type CausalAgent100007347.
- Markov_property type LivingThing100004258.
- Markov_property type MarkovModels.
- Markov_property type Model110324560.
- Markov_property type Object100002684.
- Markov_property type Organism100004475.
- Markov_property type Person100007846.
- Markov_property type PhysicalEntity100001930.
- Markov_property type Whole100003553.
- Markov_property type Worker109632518.
- Markov_property type YagoLegalActor.
- Markov_property type YagoLegalActorGeo.
- Markov_property comment "In probability theory and statistics, the term Markov property refers to the memoryless property of a stochastic process. It is named after the Russian mathematician Andrey Markov.A stochastic process has the Markov property if the conditional probability distribution of future states of the process (conditional on both past and present values) depends only upon the present state, not on the sequence of events that preceded it. A process with this property is called a Markov process.".
- Markov_property label "Markov property".
- Markov_property label "Propiedad de Márkov".
- Markov_property label "Proprietà di Markov".
- Markov_property label "Propriété de Markov".
- Markov_property label "Własność Markowa".
- Markov_property label "Марковское свойство".
- Markov_property label "خاصية ماركوف".
- Markov_property label "マルコフ性".
- Markov_property label "马尔可夫性质".
- Markov_property sameAs Propiedad_de_Márkov.
- Markov_property sameAs Propriété_de_Markov.
- Markov_property sameAs Proprietà_di_Markov.
- Markov_property sameAs マルコフ性.
- Markov_property sameAs Własność_Markowa.
- Markov_property sameAs m.01skyb.
- Markov_property sameAs Q176695.
- Markov_property sameAs Q176695.
- Markov_property sameAs Markov_property.
- Markov_property wasDerivedFrom Markov_property?oldid=601524892.
- Markov_property isPrimaryTopicOf Markov_property.