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There is a page named "Discrete-time Markov chain" on Wikipedia
In probability, a discrete-time Markov chain (DTMC) is a sequence of random variables, known as a stochastic process, in which the value of the next variable...25 KB (4,252 words) - 01:57, 27 June 2024- the chain moves state at discrete time steps, gives a discrete-time Markov chain (DTMC). A continuous-time process is called a continuous-time Markov chain...93 KB (12,484 words) - 21:10, 29 June 2024
- transition is to be made, the process moves according to the jump chain, a discrete-time Markov chain with stochastic matrix: [ 0 1 2 1 2 1 3 0 2 3 5 6 1 6 0 ]...23 KB (4,241 words) - 01:52, 27 June 2024
- Markov chains, there can be continuous-time absorbing Markov chains with an infinite state space. However, this article concentrates on the discrete-time...12 KB (1,760 words) - 17:23, 25 May 2024
- X_{n}} in the Markov renewal process is a discrete-time Markov chain. In other words, if the time variables are ignored in the Markov renewal process...4 KB (834 words) - 02:10, 13 July 2023
Ising model. A discrete-time stochastic process satisfying the Markov property is known as a Markov chain. A stochastic process has the Markov property if...9 KB (1,211 words) - 07:29, 3 April 2024- is a discrete phase-type distribution if it is the distribution of the first passage time to the absorbing state of a terminating Markov chain with finitely...4 KB (596 words) - 09:49, 3 March 2023
- Stationary distribution (category Time series)Discrete-time Markov chain § Stationary distributions and continuous-time Markov chain § Stationary distribution, a special distribution for a Markov...2 KB (251 words) - 00:29, 19 June 2024
- Absorbing Markov chain Continuous-time Markov chain Discrete-time Markov chain Nearly completely decomposable Markov chain Quantum Markov chain Telescoping...2 KB (229 words) - 07:10, 17 June 2024
- 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...4 KB (785 words) - 13:55, 6 February 2023
- be discrete-time stochastic processes and n ≥ 1 {\displaystyle n\geq 1} . The pair ( X n , Y n ) {\displaystyle (X_{n},Y_{n})} is a hidden Markov model...51 KB (6,744 words) - 13:37, 11 May 2024
- Kolmogorov's criterion (category Markov processes)and sufficient condition for a Markov chain or continuous-time Markov chain to be stochastically identical to its time-reversed version. The theorem states...4 KB (861 words) - 17:10, 21 June 2024
- In mathematics, a Markov decision process (MDP) is a discrete-time stochastic control process. It provides a mathematical framework for modeling decision...33 KB (4,869 words) - 23:58, 21 April 2024
- and congestion collapse. To understand stability, Lam created a discrete-time Markov chain model for analyzing the statistical behavior of slotted ALOHA...23 KB (3,328 words) - 02:30, 23 June 2024
- examples of Markov chains and Markov processes in action. All examples are in the countable state space. For an overview of Markov chains in general state...14 KB (2,429 words) - 21:01, 8 July 2024
- Markov chain on a measurable state space is a discrete-time-homogeneous Markov chain with a measurable space as state space. The definition of Markov...5 KB (1,000 words) - 08:14, 16 October 2023
- equation. The Leslie model is very similar to a discrete-time Markov chain. The main difference is that in a Markov model, one would have f x + s x = 1 {\displaystyle...7 KB (1,226 words) - 05:23, 15 February 2024
- of discrete time Markov processes, which are described by the Chapman–Kolmogorov equation, and sought to derive a theory of continuous time Markov processes...8 KB (1,396 words) - 18:23, 27 April 2024
- probability theory, a nearly completely decomposable (NCD) Markov chain is a Markov chain where the state space can be partitioned in such a way that...5 KB (570 words) - 06:32, 25 July 2023
- pair of states i {\displaystyle i} and j {\displaystyle j} . A discrete time Markov chain (DTMC) with transition matrix P {\displaystyle P} and equilibrium...8 KB (924 words) - 22:23, 1 November 2023
- discrete-time Markov chain (plural discrete-time Markov chains) (mathematics, probability theory) A sequence of random variables, known as a stochastic
- information systems control. Supporting disciplines include probability and Markov decision processes. These are areas which are required to advance the state
- current state. For “discrete time” Markov chains, transitions can only occur at the integers 1,2,3… For “continuous time” Markov chains, transitions can