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[PDF] Top 20 On a comparison result for Markov processes

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On a comparison result for Markov processes

On a comparison result for Markov processes

... A comparison theorem is stated for Markov processes in polish state ...main result states that stochastic monotonicity of one process and comparability of the infinitesimal generators imply ... See full document

10

On Markov processes with decomposable pseudo differential generators

On Markov processes with decomposable pseudo differential generators

... to processes with jumps of a well known criterion for non-explosion of diffusions that states that a diffusion process does not explode and defines a Feller semigroup whenever its diffusion coefficients grow at ... See full document

51

Performance Guarantees for Homomorphisms beyond Markov Decision Processes

Performance Guarantees for Homomorphisms beyond Markov Decision Processes

... weaker result (Theorem 10ii) for the ex- act V-uniform homomorphisms: the optimal actions of the member histories are mapped to the same abstract optimal action at the corresponding state of the surrogate ... See full document

8

Rank-driven Markov processes

Rank-driven Markov processes

... a result on convergence of stationary distributions for families of uniformly ergodic Markov chains on increasing state-spaces, which may be of independent ... See full document

32

A hemimetric extension of simulation for semi-markov decision processes

A hemimetric extension of simulation for semi-markov decision processes

... above result might find useful applications for speeding up the computation time required by model checking tools to disprove certain types of reachability ... See full document

17

Compositional Reasoning for Markov Decision Processes

Compositional Reasoning for Markov Decision Processes

... Our second characterisation is in terms of a novel form of testing called benefits testing. Intuitively a system P can be tested by running it in parallel with another testing system T , and seeing the possible accrued ... See full document

16

Nonequivalence of Controllability Properties for Piecewise Linear Markov Switch Processes *

Nonequivalence of Controllability Properties for Piecewise Linear Markov Switch Processes *

... We begin with presenting the model and the standing assumptions in Section 2.1. The technical constructions allowing to prove the theoretical results are gathered in Section 2.2. The controllability notions (exact null, ... See full document

11

Applied SCGM(1,1)c Model and Weighted Markov Chain for Exchange Rate Ratios

Applied SCGM(1,1)c Model and Weighted Markov Chain for Exchange Rate Ratios

... therefore markov processes are applied to evaluated the fluctuation rule of grey precision to enhance the prediction precision of SCGM(1,1)c model, moreover ,the weighted markov chain forecasting ... See full document

11

A Study on Homogenous and Heterogenous Markov Processes

A Study on Homogenous and Heterogenous Markov Processes

... of Markov analysis. In management, the application of Markov analysis will be fruitful only by applying mathematical ...the result of unobservable factors that affect individuals’ ... See full document

5

Convergence of Invariant Measures of Truncation Approximations to Markov Processes

Convergence of Invariant Measures of Truncation Approximations to Markov Processes

... eorem is th y to obtaining suffi- cien onditions for (2) to hold in continuous time. It characterises stochastic comparability and monotonicity in terms ofQ -matrix structure and is a special case of a more general ... See full document

11

Sufficient Markov Decision Processes.

Sufficient Markov Decision Processes.

... Tsitsiklis, 1996; Sutton and Barto, 1998; Bather, 2000; Si, 2004; Powell, 2007; Wiering and Van Otterlo, 2012). This class of models is quite general as almost any decision process can be made into an MDP by ... See full document

121

Moderate deviations of functional of Markov Processes

Moderate deviations of functional of Markov Processes

... Usually, in dealing with dependent random variables, to brake the dependence, a standard procedure is to divide first the variables in blocks. This technique introduces a new parameter. The second step is then to ... See full document

25

Compositional reasoning for weighted Markov decision processes

Compositional reasoning for weighted Markov decision processes

... to processes; then processes can be compared in terms of their ability to accumulate ...the result, for bounded wMDPs, that the preorder is completely determined by these ... See full document

43

Application of Markov Processes to the Machine Delays Analysis

Application of Markov Processes to the Machine Delays Analysis

... Machining processes in wood industry are particularly vulnerable to productive and non-productive ...a result machining systems can experience a broad range of delays that vary widely in frequency and ... See full document

10

Elliptic Combinatorics and Markov Processes

Elliptic Combinatorics and Markov Processes

... univariate result is due to van Diejen and Spiridonov (see [vDS00], ...ate result, in addition to being derived in the aforementioned references from conjectural data, is part of a more general theory of ... See full document

124

Interacting Markov branching processes

Interacting Markov branching processes

... branching processes are well-known in probability theory and there are many studies of Markov branching processes in biological and physical sci- ...a Markov branching processes is the ... See full document

164

Fixed point results and their applications to Markov processes

Fixed point results and their applications to Markov processes

... and comparison results are proved for fixed points of increasing operators and for common fixed points of operator families in partially ordered ...and comparison results for invariant measures of ... See full document

14

Self similar Markov processes and the time inversion property

Self similar Markov processes and the time inversion property

... of processes in two dimensions through a generalisation of the Hartman-Watson distribution provided in Pitman and Yor [1981] to time-changed L´ evy ...a comparison of the two approaches to characterising ... See full document

129

Variance Optimization for Continuous Time Markov Decision Processes

Variance Optimization for Continuous Time Markov Decision Processes

... In this article, it defines the variance optimization problem of continuous-time Markov decision processes, which is different from the mean-variance optimiza- tion problem previously studied. By defining ... See full document

15

Efficient sampling of conditioned Markov jump processes

Efficient sampling of conditioned Markov jump processes

... a Markov jump process (MJP) between a known value and a poten- tially partial or noisy observation is a key requirement of simulation-based approaches to parameter ...or Markov chain Monte Carlo offers a ... See full document

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