Results 21 to 30 of about 1,765,864 (313)
Electronic Journal of Probability, 2023 36 pages, 9 ...
Defant, Colin, Li, Rupert
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Markov chain based on neutrosophic numbers in decision making
Kuwait Journal of Science, 2021 Markov chain is a stochastic model for estimating the equilibrium of any system. It is a unique mathematical model in which the future behavior of the system depends only on the present.
KUPPUSWAMI G +4 more
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Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023 In this paper, we introduce Max Markov Chain (MMC), a novel model for sequential data with sparse correlations among the state variables. It may also be viewed as a special class of approximate models for High-order Markov Chains (HMCs). MMC is desirable for domains where the sparse correlations are long-term and vary in their temporal stretches ...
Yu Zhang, Mitchell Bucklew
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Unpredictability in Markov chains [PDF]
Carpathian Journal of Mathematics, 2021 We have formalized realizations of Markov chains as conveniently constructed sequences, and explained, why the random dynamics admits the unpredictability, the concept introduced in our papers previously. The method of the domain structured dynamics (dynamics on labels) has been applied.
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Small sets and Markov transition densities [PDF]
, 2002 The theory of general state-space Markov chains can be strongly related to the case of discrete state-space by use of the notion of small sets and associated minorization conditions. The general theory shows that small sets exist for all Markov chains on
Montana, Giovanni +2 more
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CLTs and asymptotic variance of time-sampled Markov chains [PDF]
, 2011 For a Markov transition kernel P and a probability distribution μ on nonnegative integers, a time-sampled Markov chain evolves according to the transition kernel Pμ = Σkμ(k)Pk.
Łatuszyński, Krzysztof +3 more
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Theoretical Computer Science, 2011 The article introduces constraint Markov chains as a new tool for specification. They are a generalization of interval Markov chains. Interval Markov chains extend Markov chains by labeling transitions with intervals, implying that each transition probability needs to be within the according interval.
Caillaud, Benoit +5 more
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Prediksi Kurs Rupiah Terhadap Dolar Dengan FTS-Markov Chain Dan Hidden Markov Model
Jurnal Derivat, 2019 Hidden Markov model is a development of the Markov chain where the state cannot be observed directly (hidden), but can only be observed, a set of other observations and combination of fuzzy logic and Markov chain to predict Rupiah exchange rate against ...
Maria Titah Jatipaningrum +2 more
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On Double Stochastic Lumped Chains [PDF]
The Egyptian Statistical Journal, 2008 In this paper, the problem of aggregation Markov chains has been considered. The necessary and sufficient conditions of the transition probability matrix of the original Markov chain to be a doubly stochastic matrix when the transition probability matrix
Ahmed Amin El-Sheikh
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Using fuzzy time series with and without markov chain: to forecast of edible bird nest exported from Indonesia [PDF]
E3S Web of Conferences, 2022 Edible bird nest (EBN) were traditional medicine consumed by the Tiongkok. This study compared two-algorithm method. Fuzzy time series and Markov chain as forecast method the number of bird nest exported from Indonesia.
Sjofjan Osfar, Adli Danung Nur
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