The Four-State General Markov Model
Evolutionary trees can be learned in polynomial time in the two state general Markov model
... Two-State General Markov Model satisfying the two restrictions on Page ...reconstructing Markov Evolutionary Trees from ...the model do signicantly simplify the problem of ...
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Set-free Markov state model building
... However, standard set-based MSMs exhibit some caveats limiting their approximation quality and statistical significance. One of the main caveats results from the fact that typical MD trajectories repeatedly re-cross the ...
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Quantitative contraction rates for Markov chains on general state spaces
... of Markov tran- sition kernels in Kantorovich ( L 1 Wasserstein) ...for Markov chains on general state spaces that are powerful if the dynamics is dominated by small local ...For Markov ...
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Model Checking Markov Chains with Actions and State Labels
... 10b shows the number of transitions of the original ASMC model of a cellular radio network and of the product Markov chains needed for the model checking procedure of the given asCSL-for[r] ...
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Enhanced state selection Markov model for image splicing detection
... many Markov states in consideration of calculation complexity and time consumption, so loss of information is some- what ...for state S = 0 is almost the same as that of all other ...know, Markov ...
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A non parametric hidden Markov model for climate state identification
... Hidden Markov models (HMMs) can allow for varying wet and dry cycles in the climate without the need to simulate supplementary climate ...the state conditional ...about state conditional ...
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Solvation Layer of Antifreeze Proteins Analyzed with a Markov State Model
... Our results correlate to a certain extent with the ob- servations of Bakker and coworkers, who observed ice- like water in VSFG spectra only in the case of wild-type AFP-III, 13 but not for DAFP-1, 14 despite the fact ...
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A Semi-Markov Multiple State Model for Reverse Mortgage Terminations
... we model reverse mortgage terminations using a semi-Markov multiple state model, which incorporates three different modes of termination: death, entrance into a long-term care fa- cility, and ...
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A four dukkha state-space model for hand tracking
... the four dukkha: birth, aging, sickness and death (BASD) in ...standard state-space model, but maintains multiple hypotheses and integrates hypothesis update and propagation mechanisms that resemble ...
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A State Dependent Lane-Changing Model for Urban Arterials with Hidden Markov Model Method
... to model driving behavior in ...this model; it is also capable of recognizing driving styles and predicting behaviors based on previous vehicular ...changing model they proposed in their previous ...
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Stochastic Model for Rainfall Occurrence Using Markov Chain Model in Kurdufan State, Sudan
... This paper will attempt to demonstrate the potential benefits of using Stochastic Processes for modeling and interpreting historical rainfall records by the examination of weekly rainfall occurrence using Markov ...
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Component Safety Assessment Using Three State Markov Chain Model
... In this Space Shuttle Ground System example, the critical faults are assigned to the unsafe fault subspace and the major faults and the minor faults are assigned to the safe fault subspace. Based on the result of the ...
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Classification and Analysis of MOOCs Learner’s State: The Study of Hidden Markov Model
... learning state at the beginning of their ...negative state decreases gradually, and the probability value of learners’ normal state increases ...normal state probability value of learners with ...
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Option pricing under two-state Markov chain market model
... the model (u, v and y) and defined errors for the following companies ”American Express Company Common”(APX), ”Cisco Systems, ...two- state Markov chain model with non-recombinant tree, ...
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Improving Software Model Inference by Combining State Merging and Markov Models
... automaton model from the provided ...exact model from the ...inferred model is isomorphic to the target ...the state machine model is ...
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Adaptive continuous time Markov chain approximation model to general jump-diffusions
... (2007), Markov chain Monte Carlo simulations as in Phillips and Yu (2009), Kalogeropoulos et ...the Markov chain approximation we propose in this paper has several ...
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Adaptive Continuous time Markov Chain Approximation Model to General Jump-Diffusions
... the Markov chain with S min = 60 to S max = ...the Markov chain method produces a very good fit for the call option prices from deep out-of-money to deep in-the-money strikes and relative errors are all ...
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Approximation Metrics Based on Probabilistic Bisimulations for General State-Space Markov Processes: A Survey
... Abstract This article provides a survey of approximation metrics for stochastic processes. We deal with Markovian processes in discrete time evolving on general state spaces, namely on domains with infinite ...
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The State-of-The-Economy Index and The probability of Recession: The Markov Regime-Switching Model 1
... to four important indicators were compared: (1) the index of manufacturing production, as an essential component of the composite index on the one hand, and the most appropriate to be updated on the other; (2) A ...
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Meta State Generalized Hidden Markov Model for Eukaryotic Gene Structure Identification
... hidden Markov model (HMM) as the starting point for a eukaryotic gene finder, the objective here is to strengthen the signal information at the transitions between coding and non-coding (c/nc) ...HMM ...
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