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1. Markov chain: A Markov chain, sometimes called a Markov process, is a sequence in which any state in the sequence depends only on the previous state, and is independent of all other states. An example of a Markov process is the random ... [100%] 2023-03-06 [Probability and Statistics]
2. Markov chain: A Markov process with finite or countable state space. The theory of Markov chains was created by A.A. (Mathematics) [100%] 2023-08-25 [Markov processes]
3. Markov chain: A Markov chain is a Markov process with a discrete time parameter . The Markov chain is a useful way to model systems with no long-term memory of previous states. [100%] 2023-05-18
4. Markov Chain: Please suggest the best living expert(s) to invite to write this article: Name:Professor Walter R Gilks Email (if known):wally.gilks@maths.leeds.ac.uk Affiliation: University of Leeds Name:Geoffrey Grimmett Email (if known):g.r.grimmett ... [100%] 2022-10-30 [Probability Theory]
5. Markov chain: A Markov chain or Markov process is a 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. Informally, this may be thought of as ... (Random process independent of past history) [100%] 2023-11-08 [Markov processes] [Markov models]...
6. Markov chains: Arnoldo Frigessi and Bernd Heidergott Markov chains are stochastic models which play an important role in many applications in areas as diverse as biology, finance, and industrial production. Roughly speaking, Markov chains are used for modeling how a system moves ... (Mathematics) [90%] 2023-11-28 [Statprob]
7. Chain; Chains: CHAIN; CHAINS chan, chanz: Chains were used by the Hebrews: (1) As ornaments: 'ets`adhah, neTiphah, `anaq, rabhidh, sharsherah, rattoq. As ornaments for the person they were worn about the ankles (Numbers 31:50; Isaiah 3:20) and about the ... [87%] 1915-01-01
8. Markov chain, generalized: A sequence of random variables $ \xi _ {n} $ with the properties: 1) the set of values of each $ \xi _ {n} $ is finite or countable; 2) for any $ n $ and any $ i _ {0} \dots i _ {n} $, $$ \tag{* } {\mathsf ... (Mathematics) [81%] 2023-10-02 [Markov chains]
9. Markov chain, ergodic: A homogeneous Markov chain $ \xi ( t) $ with the following property: There are quantities (independent of $ i $) $$ \tag{1 } p _ {j} = \lim\limits _ {t \rightarrow \infty } p _ {ij} ( t) ,\ \ \sum _ { j } p _ {j} = 1 , $$ where $$ p ... (Mathematics) [81%] 2023-08-20
10. Quantum Markov chain: In mathematics, the quantum Markov chain is a reformulation of the ideas of a classical Markov chain, replacing the classical definitions of probability with quantum probability. Very roughly, the theory of a quantum Markov chain resembles that of a measure ... [81%] 2023-08-17 [Exotic probabilities] [Quantum information science]...
11. Markov chain, periodic: A non-decomposable homogeneous Markov chain $ \xi ( n) $, $ n = 1 , 2 \dots $ in which each state $ i $ has period larger than 1, that is, $$ d _ {i} = \textrm{gcd}\{ {n } : { {\mathsf P} \{ \xi ( n) = i \mid \xi ( 0) = i \} > 0 ... (Mathematics) [81%] 2023-09-19 [Markov chains]
12. Markov chain, decomposable: A Markov chain whose transition probabilities $p_{ij}(t)$ have the following property: There are states $i,j$ such that $p_{ij}(t) = 0$ for all $t \ge 0$. Decomposability of a Markov chain is equivalent to decomposability of its ... (Mathematics) [81%] 2023-09-12 [Markov processes]
13. Markov chain, recurrent: A Markov chain in which a random trajectory $\xi(t)$, starting at any state $\xi(0)=i$, returns to that state with probability 1. In terms of the transition probabilities $p_{ij}(t)$, recurrence of a discrete-time Markov chain ... (Mathematics) [81%] 2023-10-20 [Markov chains]
14. Telescoping Markov chain: In probability theory, a telescoping Markov chain (TMC) is a vector-valued stochastic process that satisfies a Markov property and admits a hierarchical format through a network of transition matrices with cascading dependence. For any \displaystyle{ N\gt 1 }[/math ... [81%] 2023-12-21 [Markov processes]
15. Additive Markov chain: In probability theory, an additive Markov chain is a Markov chain with an additive conditional probability function. Here the process is a discrete-time Markov chain of order m and the transition probability to a state at the next time ... [81%] 2024-02-25 [Markov processes]
16. Monte Carlo (miniseries): Monte Carlo is a 1986 American two-part, four-hour television miniseries starring Joan Collins and George Hamilton. An adaptation of the 1983 novel of the same name by Stephen Sheppard, it is a spy thriller set in Monaco during ... (Miniseries) [81%] 2023-09-20 [1986 television films] [1986 films]...
17. Monte Carlo: Monte Carlo (French: Monte-Carlo; Italian: Montecarlo; Occitan: Montcarles; Ligurian: Monte Carlu) is a famous area within the sovereign city-state of Monaco. It is worldwide reputed for its Monte Carlo Casino, for its Monte Carlo Philharmonic Orchestra, for its ... [81%] 2023-02-08
18. Monte Carlo (video game): Monte Carlo is a gambling simulation video game created for the Apple IIGS, created by PBI Software. It was programmed by Richard L. (Video game) [81%] 2024-01-13 [1987 video games] [Apple IIGS games]...
19. Monte Carlo: Monte Carlo (Frans: Monte-Carlo, Monegaskies: Monte-Carlu) is die vernaamste woonkwartier van die stadstaat Monaco, 'n onafhanklike prinsdom aan die Franse Côte d'Azur (Middellandse See). Die buurt dra sy Italiaanse naam sedert 1 Julie 1866 ter ere van ... [81%] 2023-10-18
20. Monte Carlo (musical): Monte Carlo is an Edwardian musical comedy in two acts with a book by Sidney Carlton, music by Howard Talbot and lyrics by Harry Greenbank. The work was first performed at the Avenue Theatre in London, opening on 27 August ... (Musical) [81%] 2024-03-23 [1896 musicals] [West End musicals]...