Results 21 to 30 of about 407,439 (176)
The Entropy of Conditional Markov Trajectories [PDF]
To quantify the randomness of Markov trajectories with fixed initial and final states, Ekroot and Cover proposed a closed-form expression for the entropy of trajectories of an irreducible finite state Markov chain.
Grossglauser, Matthias +2 more
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Prediction of passenger movement indexes using Holt Winters Markov chain model [PDF]
In order to predict the values of passengers movement indexes which enjoy seasonal changes, this research uses Holt Winters Markov chain model, which is a combination of Markov chain and Holt Winters models.
Fatemeh haghighat, Fariborz Golai
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The selection of a drill bit is an essential issue in well planning. Furthermore, identification and evaluation of sedimentary rocks before well drilling plays a crucial role in choosing the drill bit.
Afsaneh Ghaffari Rad +3 more
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The extremes of a univariate Markov chain with regularly varying stationary marginal distribution and asymptotically linear behavior are known to exhibit a multiplicative random walk structure called the tail chain. In this paper we extend this fact to Markov chains with multivariate regularly varying marginal distributions in R
Janssen, A., Segers, J.
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Markov chain based on neutrosophic numbers in decision making
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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Using fuzzy time series with and without markov chain: to forecast of edible bird nest exported from Indonesia [PDF]
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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We propose a control problem in which we minimize the expected hitting time of a fixed state in an arbitrary Markov chains with countable state space. A Markovian optimal strategy exists in all cases, and the value of this strategy is the unique solution of a nonlinear equation involving the transition function of the Markov chain.
Kesten, Harry, Spitzer, Frank
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Running Markov Chain without Markov Basis [PDF]
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Hara, Hisayuki +2 more
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Analyticity of Entropy Rate of Hidden Markov Chains [PDF]
We prove that under mild positivity assumptions the entropy rate of a hidden Markov chain varies analytically as a function of the underlying Markov chain parameters. A general principle to determine the domain of analyticity is stated.
Han, Guangyue, Marcus, Brian
core +4 more sources
Approximating Markov chains. [PDF]
A common framework of finite state approximating Markov chains is developed for discrete time deterministic and stochastic processes. Two types of approximating chains are introduced: (i) those based on stationary conditional probabilities (time averaging) and (ii) transient, based on the percentage of the Lebesgue measure of the image of cells ...
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