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random measure

On the asymptotic behavior of the second moment of the Fourier
transform of a random measure

On the asymptotic behavior of the second moment of the Fourier transform of a random measure

... A random measure is defined in the sense of a random object (see [10, page 9]) by the action of a random operator on a usual Borel measure in such a way that its Fourier transform is ...

12

Convergence and stability of implicit compensated Euler method for stochastic differential equations with Poisson random measure

Convergence and stability of implicit compensated Euler method for stochastic differential equations with Poisson random measure

... We give an overview of the existing literature on the strong approximations of SDEs with Poisson random measure. Early, in [], Platen gave a convergence theorem for strong approximations of any given order ...

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Comparing distributions by using dependent normalized random measure mixtures

Comparing distributions by using dependent normalized random measure mixtures

... normalized random-measure mixture models were introduced by Griffin and Walker ...normalized random-measure mixture the posterior is proportional ...

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An averaging principle for neutral stochastic functional differential equations driven by Poisson random measure

An averaging principle for neutral stochastic functional differential equations driven by Poisson random measure

... ditions. Meantime, we relax the Lipschitz condition and obtain the averaging principle for neutral SFDEs with Poisson random measure () under non-Lipschitz conditions. It should be pointed out that the ...

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Weak convergence to isotropic complex \(S\alpha S\) random measure

Weak convergence to isotropic complex \(S\alpha S\) random measure

... real-valued random variables; however, in Samorodnitsky and Taqqu [], Cohen [, ], Benassi et ...SαS random measure. These show that complex random measure is very impor- tant in ...

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Comparing distributions using dependent normalized random measure mixtures

Comparing distributions using dependent normalized random measure mixtures

... This paper discusses a method for inferring differences between distributions associated with different groups of observations. A Bayesian nonparametric approach is taken and we intro- duce a novel form of priors, ...

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5095.pdf

5095.pdf

... In this dissertation, we study large deviations problems for stochastic dynami- cal systems. First, we consider a family of Stochastic Partial Differential Equations (SPDE) driven by a Poisson Random ...

206

The neutral population model and Bayesian non parametrics

The neutral population model and Bayesian non parametrics

... provides random probability measures which are purely ...the measure-valued diffusion, we can invert the procedure and derive the population process directly from the ...time-dependent random ...

17

About Stochastic Calculus in Presence of Jumps at Predictable Stopping Times

About Stochastic Calculus in Presence of Jumps at Predictable Stopping Times

... studying random measures generated by jumps of a given semimartingale, it is naturally to define separately a random measure µ generated by the jumps at totally inac- cessible stopping times and an ...

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Limit Theorems of Integrals with Respect to Vector Random Measures in Complete Paranormed Spaces

Limit Theorems of Integrals with Respect to Vector Random Measures in Complete Paranormed Spaces

... studies random integral of the form ∫ gdM , where f is a function taking value in a paranormed vector space X, and M is an independent scattered vector random ...measure. Random integrals of ...

6

Compound Poisson point processes, concentration and oracle inequalities

Compound Poisson point processes, concentration and oracle inequalities

... NB random variables, which is more general than the un-weighted case in Cleynen and Lebarbier [7], which supposes that the over-dispersion parameter of NB random variables is ...

28

Conditional Value at Risk for Random Immediate Reward Variables in Markov Decision Processes

Conditional Value at Risk for Random Immediate Reward Variables in Markov Decision Processes

... of random reward variable at each time as small as possible, a risk measure is introduced using condi- tional value-at-risk for random immediate reward variables in Markov decision processes, under ...

6

Value distribution of general Dirichlet series. VIII

Value distribution of general Dirichlet series. VIII

... Limit theorems in the sense of weak convergence of probability mea- sures in various spaces for general Dirichlet series were obtained [4]-[6], [10]-[14] and [18], [19]. Limit theorems on the complex plane for gen- eral ...

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Performance Evaluation of ODMRP and ADMR using Dif ferent Mobility Models

Performance Evaluation of ODMRP and ADMR using Dif ferent Mobility Models

... A Mobile ad hoc network (MANET) is a collection of wire- less mobile nodes forming a temporary network without using any existing infrastructure. Mobile Ad-Hoc is a dynamic, multi-hop and autonomous networks composed by ...

6

Random ultrametric trees and applications*

Random ultrametric trees and applications*

... Abstract. Ultrametric trees are trees whose leaves lie at the same distance from the root. They are used to model the genealogy of a population of particles co-existing at the same point in time. We show how the boundary ...

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Evolving structure of the maritime trade network: evidence from the Lloyd’s Shipping Index (1890–2000)

Evolving structure of the maritime trade network: evidence from the Lloyd’s Shipping Index (1890–2000)

... to measure the topological structure of the global container shipping network (Joly 1999) and to analyze the global strategies of ocean carriers such as Maersk and CMA-CGM (Frémont ...

17

The invariant measure of random walks in the quarter plane

The invariant measure of random walks in the quarter plane

... another random walk for which we know the invariant measure in closed ...The random walk is obtained by perturbing transition probabilities of the original random walk on the horizontal and ...

52

MoL 2018 10: 
  Post quantum Security of Fiat Shamir Signatures

MoL 2018 10: Post quantum Security of Fiat Shamir Signatures

... the random-oracle model, it is often in the form of a reduction – as we described in Section ...new random value) – and thus no way to tell an honest from a dishonest ...

56

Measure For Measure

Measure For Measure

... Wait 1 second, then push plunger to the second stop to expel the last bit of fluid so that the pipet tip has no fluid left in it.. Keep the plunger pushed down as you take the pipet ou[r] ...

6

NO-REFERENCE IMAGE QUALITY MEASURE FOR IMAGES WITH MULTIPLE DISTORTIONS USING RANDOM FORESTS FOR MULTI METHOD FUSION

NO-REFERENCE IMAGE QUALITY MEASURE FOR IMAGES WITH MULTIPLE DISTORTIONS USING RANDOM FORESTS FOR MULTI METHOD FUSION

... algorithm shows better performance than the SISBLIM framework and the four variants of the measure. We have performed separate experiments on LIVEMD database and the MDID2013 database as both the datasets have ...

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