18 results with keyword: 'formal reasoning finite state discrete time markov chains'
This small 2-state DTMC case study clearly illustrates the main strength of the proposed theorem proving based technique against the probabilistic model checking [23] approach
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In this work we prove that given a sequence of irreducible reversible finite discrete-time Markov chains, the sequence of associated continuous-time chains exhibits
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An interesting subset of Markov chains are Continuous-Time Markov Chains (CTMCs), which are used to model and analyse models with finite state space and their evolution over time..
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Finite state-space discrete Markov chains have a useful simplifying property: they are always positive-recurrent if they are irreducible2. This argument fails for infinite
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For discrete-time situations with discrete outcomes, some useful stochastic processes identi fi ed are Bernoulli processes, discrete-time Markov chains and hidden Markov models..
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For discrete-time situations with discrete outcomes, some useful stochastic processes identi fied are Bernoulli processes, discrete-time Markov chains and hidden Markov models..
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validate the input transition matrix, plot the transition matrix as a graph diagram, perform structural analysis of DTMCs (e.g. classification of transition matrices and
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The incoming exchange/visiting students will receive an updated list of courses with outlines in July and apply for courses online in August if the students study with us in
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The following lemma shows that in the case where the set of transition matrices contains at least one regular matrix there exists a unique minimal closed invariant set with respect
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The model we present is consistent with the second explanation. The negative shift in labor supply increases the relative abundance of capital and generates an incentive for
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Under these conditions the share of human factors (1 ) remains constant if labor saving innovations are always human capital using and land saving innovations are always
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The choice of K defines a trade-off between false positive detections and detection delay in both the parametric and non- parametric mechanism detailed above. Following the
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On one hand, as 0 and N are absorbing states, we have that these states are essential. On the other hand, the states 1,. , N − 1 are passing through states because it is possible
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One is Peskun ordering (1973), extended by Tierney (1998) to general state spaces, and the other is the covariance ordering introduced by Mira and Geyer (1999).. Ordering Markov
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Population is important in any society because the growth rate has implications for the country, state, town, city, and even the village... Commission to ascertain the
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In this paper, by using the notion of asymptotic log-likehood and the martingale conver- gence theorem, and extending the analytic technique proposed by Liu [], Liu and Yang [] to
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We study different types of limit behavior of infinite dimension discrete time nonhomogeneous Markov chains.. We show that the geometric structure of the set of those Markov
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