Markov property
Stochastic process satisfying a certain property
In probability theory and statistics, the Markov property is the memoryless property of a stochastic process, which means that its future evolution is independent of its history. It is named after the Russian mathematician Andrey Markov.
Nº Q176695 ★
Common · Knowledge
Markov property
Stochastic process satisfying a certain property
In probability theory and statistics, the Markov property is the memoryless property of a stochastic process, which means that its future evolution is independent of its history. It is named after the Russian mathematician Andrey Markov.
Last price
—
Floor price
—
7-day median
—
30-day sales
0
30-day range
—
In circulation
0
Price history
median
low – high
sales
No sales in this period
Show table
| Date | median | Low | High | sales |
|---|
Sales history
- Last sale
- —
- 30-day average
- —
- 30-day low
- —
- 30-day high
- —
- Sales 7d
- 0
- Sales 30d
- 0
No sales yet.
Anonymous sales: no buyer or seller shown. Figures count player-to-player sales only.
From Wikipedia
In probability theory and statistics, the Markov property is the memoryless property of a stochastic process, which means that its future evolution is independent of its history. It is named after the Russian mathematician Andrey Markov. 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. 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.
Text: Wikipédia, CC BY-SA 4.0. · Image: Sullivan.t.j (CC BY-SA 3.0) ·
Related cards
Markov model
Probability tool
Nº Q6771326 ★
Markov process
Stochastic process
Nº Q2221775 ★★
Markov chain
Stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event
Nº Q176645 ★★★★
Property (programming)
Type of class member in object-oriented programming which is accessed like a field but implemented as subroutine(s)
Nº Q2123335 ★
Probability axioms
Axioms that are relevant to the probability theory
Nº Q974605 ★★
Hidden Markov model
Statistical Markov model
Nº Q176769 ★★★