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Average-Based Fuzzy Time Series Markov Chain Based on Frequency Density Partitioning
Journal of Applied Mathematics, 2023 Fuzzy time series (FTS) is one of the forecasting methods that has been developed until now. The fuzzy time series is a forecasting method that uses the concept of fuzzy logic, which Song and Chissom first introduced.
Susilo Hariyanto +3 more
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Polynomial Recurrence of Time-inhomogeneous Markov Chains
Austrian Journal of Statistics, 2023 This paper is devoted to establishing conditions that guarantee the existence of a p-th moment of the time it takes for a timeinhomogeneous Markov chain to hit some set C.
Vitaliy Golomoziy, Olha Moskanova
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The mixing time of the switch Markov chains: a unified approach [PDF]
, 2019 Since 1997 a considerable effort has been spent to study the mixing time of switch Markov chains on the realizations of graphic degree sequences of simple graphs.
Erdős, Péter L. +5 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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Putting Markov Chains Back into Markov Chain Monte Carlo [PDF]
Journal of Applied Mathematics and Decision Sciences, 2007 Markov chain theory plays an important role in statistical inference both in the formulation of models for data and in the construction of efficient algorithms for inference. The use of Markov chains in modeling data has a long history, however the use of Markov chain theory in developing algorithms for statistical inference has only become popular ...
Barker, Richard J. +1 more
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A Markov Chain Model Checker [PDF]
, 2000 Markov chains are widely used in the context of performance and reliability evaluation of systems of various nature. Model checking of such chains with respect to a given (branching) temporal logic formula has been proposed for both the discrete [17,6 ...
Hermanns, Holger +3 more
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The Entropy of Conditional Markov Trajectories [PDF]
, 2013 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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Bounds of the stationary distribution in M/G/1 retrial queue with two-way communication and n types of outgoing calls [PDF]
Yugoslav Journal of Operations Research, 2019 In this article we analyze the M=G=1 retrial queue with two-way communication and n types of outgoing calls from a stochastic comparison viewpoint. The main idea is that given a complex Markov chain that cannot be analyzed numerically, we propose to ...
Alem Lala Maghnia +2 more
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Distributed Averaging via Lifted Markov Chains
, 2009 Motivated by applications of distributed linear estimation, distributed control and distributed optimization, we consider the question of designing linear iterative algorithms for computing the average of numbers in a network.
Jung, Kyomin +2 more
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A Markov chain model for predicting Major League Baseball [PDF]
, 2017 In this report, we present a Markov chain model for predicting the scores and the winning team of Major League Baseball (MLB) games. We discuss how a baseball game can be viewed as an infinite horizon discrete-time Markov chain with finite state space ...
Smith, Zachary James
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