piecewise deterministic Markov processes
Piecewise deterministic Markov processes for continuous time Monte Carlo
... to piecewise deterministic Markov ...these processes whilst avoiding technical ...a piecewise determinis- tic Markov process and how we can use the theory for these ...
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Numerical methods for piecewise deterministic Markov processes with boundary
... for Piecewise Deterministic Markov Processes must now be tested on different PDMPs, some of them related to practical cases and others in order to un- derstand their ...
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Uniform Assymptotics in the Average Continuous Control of Piecewise Deterministic Markov Processes : Vanishing Approach*,**
... Piecewise deterministic Markov processes (PDMP) have been introduced by Davis [8], ...these processes is extremely wide ( [9], [20], [1], [11], [13], ...
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Piecewise Deterministic Markov Processes for Continuous Time Monte Carlo
... a piecewise deterministic Markov ...to piecewise deterministic Markov processes, covering the aspects relevant to these new Monte Carlo algorithms, with a view to making ...
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Piecewise deterministic Markov processes for scalable Monte Carlo on restricted domains
... PDMPs explore the state space according to constant velocity dynamics, but where the velocity changes at random event times. The rate of these event times, and the change in velocity at each event, are chosen so that the ...
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Nonequivalence of Controllability Properties for Piecewise Linear Markov Switch Processes *
... of piecewise deterministic Markov processes of switch ...uncontrolled Markov process corresponding to spikes inducing regime ...
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Probabilistic and Piecewise Deterministic models in Biology
... on Piecewise Deterministic Markov Processes (PDMPs), involved in biological ...of Markov processes and are being increasingly popular in biological ...switching Markov ...
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Piecewise deterministic Markov process — recent results
... The piecewise deterministic Markov processes (denoted PDMPs) were first introduced in the literature by Davis ( [Dav84, Dav93]). Already at this time, the theory of diffusions had such ...
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A piecewise deterministic scaling limit of Lifted Metropolis Hastings in the Curie Weiss model
... elementary Markov process which has so far received only very limited attention in the ...one-dimensional piecewise deterministic Markov process which we will refer to as a zig-zag pro- cess: ...
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Monte Carlo filtering of piecewise deterministic processes
... Resampling should be carried out after any iteration which causes the effective sample size (ESS), Kong et al. (1994), to fall below a reasonable threshold (typically around half of the total number of particles), to ...
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Markov processes in blockchain systems
... block-structured Markov pro- cesses in the queueing study of blockchain ...mining processes, the reward incentive, the consensus mechanism, the block generation, the blockchain building and so ...
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Compositional Reasoning for Markov Decision Processes
... The rest of this paper is organised as follows. In Section 2 we introduce the model of weighted MDPs, the notation of hyper-derivations and some important properties. Then we define a behavioural preorder based on ...
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Reflected diffusions and piecewise diffusion approximations of Levy processes
... It is well-known that for a homogeneous diffusion without reflection the time change covers the whole time line. This is also true in the presence of a re- flecting boundary, because locally it evolves like an unaffected ...
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A metrized duality theorem for Markov processes
... The main impact of this work is to put quantitative reasoning about Markov processes on a firmer footing. It has been over a decade since metric analogues of bisimulation were developed, but they have not ...
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Lecture_07-09 Markov Processes
... a Markov chain. The Markov chain is strongly periodic if and only if the elements of P are all zeros except for m elements that have 1s arranged such that each column and each row contains only a single 1 ...
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Moderate deviations of functional of Markov Processes
... Remark 2.14. On the mixing-coefficients. The α-mixing coefficients are not needed in their full generality. We need mixing-coefficients allowing coupling and decorrelation of blocks of random variables. We can use of the ...
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A Study on Homogenous and Heterogenous Markov Processes
... Considering these aspects two models are proposed. The first model is an exponentially distributed random variable with constant parameters. In the second model the exponential time distribution in one of the systems is ...
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Augmenting Markov Decision Processes with Advising
... responsiveness, this map is abstracted into a 400 × 400- tiles hexagonal grid (any tile containing at least one obsta- cle pixel is considered as an obstacle tile). This grid is then transformed into a canonical ...
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Some contributions to Markov decision processes
... To the best of our knowledge, we first consider an MDP with average criterion and one-sided w-bounded cost functions, and provide verifiable conditions for the establishement of optimality results. Our methods combine ...
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Long-Range Dependence of Markov Processes
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