Results 61 to 70 of about 120 (114)
Staircase patterns in words: subsequences, subwords, and separation number. [PDF]
Mansour T, Rastegar R, Roitershtein A.
europepmc +1 more source
Embeddability of centrosymmetric matrices capturing the double-helix structure in natural and synthetic DNA. [PDF]
Ardiyansyah M +2 more
europepmc +1 more source
Hidden Markov Model Regression
Hidden Markov Model Regression (HMMR) is an extension of the Hidden Markov Model (HMM) to regression analysis. We assume that the parameters of the regression model are determined by the outcome of a finite-state Markov chain and that the error terms are
Fridman, Moshe, Moshe Fridman
core
Markov Chain Sensitivity Measured By Mean First Passage Times
The purpose of this article is to present results concerning the sensitivity of the stationary probabilities for a n-state, time-homogeneous, irreducible Markov chain in terms of the mean first passage times in the chain. Key words.
Grace E. Cho, Carl D. Meyer
core
Uniform ergodicities and perturbation bounds of Markov chains on base norm spaces
It is known that Dobrushin's ergodicity coefficient is one of the effective tools in the investigations of limiting behavior of Markov processes. Several interesting properties of the ergodicity coefficient of a positive mapping defined on base norm ...
Mukhamedov, Farrukh +1 more
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Reliable uncertainties of tests and surveys – a data-driven approach [PDF]
MSC Classification 60J10, 91Exx, 91E45, 05A18.Supplementary material are available online at: https://www.metrology-journal.org/10.1051/ijmqe/2023018/olm .
Wang, K +2 more
core +1 more source
We introduce random homoclinic points and orbits for random dynamical systems with hyperbolic stationary orbits and investigate their meaning for irregular behaviour in form of a stochastic version of the Birkhoff-Smale Theorem.
Volker Matthias Gundlach
core
Ruelle's Transfer Operator for Random Subshifts of Finite Type
We consider a Ruelle-Perron-Frobenius type of selection procedure for probability measures that are invariant under random subshifts of finite type. In particular we prove that for a class of random functions this method leads to a unique probability ...
Volker Matthias Gundlach +1 more
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General Conditions for Bounded Relative Error in Simulations of Highly Reliable Markovian Systems
We establish a necessary condition for any importance sampling scheme to give bounded relative error when estimating a performance measure of a highly reliable Markovian system. Also, a class of importance sampling methods is defined for which we prove a
Marvin K. Nakayama, Marvin Nakayama
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Computable Bounds For Polynomial Ergodicity
This paper discusses quantitative bounds on the convergence rates of Markov chains, under conditions implying polynomial convergence rates. This paper extends an earlier work by Roberts and Tweedie [17], which provides quantitative bounds for the total ...
G. Fort, E. Moulines
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