Markov chain - Wikipedia
https://en.wikipedia.org/wiki/Markov_chainA 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. A countably infinite sequence, in which 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(C…
Markov Sequence -- from Wolfram MathWorld
mathworld.wolfram.com › MarkovSequenceJan 11, 2022 · Markov Sequence. A sequence , , ... of random variates is called Markov (or Markoff) if, for any , i.e., if the conditional distribution of assuming , , ..., equals the conditional distribution of assuming only (Papoulis 1984, pp. 528-529). The transitional densities of a Markov sequence satisfy the Chapman-Kolmogorov equation .
Avoiding Plagiarism in Markov Sequence Generation
axon.cs.byu.edu › Dan › 673Cand one with D. A sequence is a Markov sequence, ac-cording to an order kMarkov chain, if every k-gram of the sequence has a continuation with a non-zero probability. For example, ABRADABRACA is a valid Markov sequence, but ABRACADABA is not a valid Markov sequence, be-cause the probability of having A after B is zero. Automaton Representation
Markov chain - Wikipedia
en.wikipedia.org › wiki › Markov_chainA 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. [1] [2] [3] A countably infinite sequence, in which the chain moves state at discrete time steps, gives a discrete-time Markov chain (DTMC).
Markov Chain - GeeksforGeeks
https://www.geeksforgeeks.org/markov-chain03.12.2021 · Markov chains, named after Andrey Markov, a stochastic model that depicts a sequence of possible events where predictions or probabilities for the next state are based solely on its previous event state, not the states before. In simple words, the probability that n+1 th steps will be x depends only on the nth steps not the complete sequence of ...
Markov model - Wikipedia
https://en.wikipedia.org/wiki/Markov_modelA hidden Markov model is a Markov chain for which the state is only partially observable or noisily observable. In other words, observations are related to the state of the system, but they are typically insufficient to precisely determine the state. Several well-known algorithms for hidden Markov models exist. For example, given a sequence of observations, the Viterbi algorithm will compute the most-likely corresponding sequence of states, the forward algorithmwill compute t…