Results 31 to 40 of about 407,439 (176)
A Markov Chain Approximation of a Segment Description of Chaos [PDF]
, 2010 We test a Markov chain approximation to the segment description (Li, 2007) of chaos (and turbulence) on a tent map, the Minea system, the H\'enon map, and the Lorenz system.
Labovsky, Alexander, Li, Y. Charles
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
A Quantum-Quantum Metropolis Algorithm [PDF]
, 2010 Recently, the idea of classical Metropolis sampling through Markov chains has been generalized for quantum Hamiltonians. However, the underlying Markov chain of this algorithm is still classical in nature.
A. Aspuru-Guzik +18 more
core +2 more sources
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
doaj +1 more source
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
openaire +4 more sources
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
openaire +1 more source
Generalized Markov stability of network communities
, 2020 We address the problem of community detection in networks by introducing a general definition of Markov stability, based on the difference between the probability fluxes of a Markov chain on the network at different time scales.
Cimini, Giulio +2 more
core +1 more source
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
doaj +1 more source
Information-Preserving Markov Aggregation
, 2013 We present a sufficient condition for a non-injective function of a Markov chain to be a second-order Markov chain with the same entropy rate as the original chain.
Geiger, Bernhard C., Temmel, Christoph
core +1 more source