Search results for "Random measure"

showing 6 items of 6 documents

Existence, uniqueness and comparison results for BSDEs with Lévy jumps in an extended monotonic generator setting

2018

We show existence of a unique solution and a comparison theorem for a one-dimensional backward stochastic differential equation with jumps that emerge from a L\'evy process. The considered generators obey a time-dependent extended monotonicity condition in the y-variable and have linear time-dependent growth. Within this setting, the results generalize those of Royer (2006), Yin and Mao (2008) and, in the $L^2$-case with linear growth, those of Kruse and Popier (2016). Moreover, we introduce an approximation technique: Given a BSDE driven by Brownian motion and Poisson random measure, we consider BSDEs where the Poisson random measure admits only jumps of size larger than $1/n$. We show con…

Comparison theorembackward stochastic differential equationMonotonic function01 natural sciencesLévy processlcsh:QA75.5-76.95010104 statistics & probabilityMathematics::ProbabilityApplied mathematicsUniqueness0101 mathematicsBrownian motionstokastiset prosessitMathematicsLévy processResearch010102 general mathematicsComparison resultsPoisson random measureBackward stochastic differential equationlcsh:Electronic computers. Computer science60H10lcsh:Probabilities. Mathematical statisticscomparison theoremlcsh:QA273-280differentiaaliyhtälötMathematics - ProbabilityGenerator (mathematics)existence and uniquenessProbability, Uncertainty and Quantitative Risk
researchProduct

Adaptive Population Importance Samplers: A General Perspective

2016

Importance sampling (IS) is a well-known Monte Carlo method, widely used to approximate a distribution of interest using a random measure composed of a set of weighted samples generated from another proposal density. Since the performance of the algorithm depends on the mismatch between the target and the proposal densities, a set of proposals is often iteratively adapted in order to reduce the variance of the resulting estimator. In this paper, we review several well-known adaptive population importance samplers, providing a unified common framework and classifying them according to the nature of their estimation and adaptive procedures. Furthermore, we interpret the underlying motivation …

Computer scienceMatemáticasMonte Carlo methodPopulation02 engineering and technologyMachine learningcomputer.software_genre01 natural sciences010104 statistics & probability[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0202 electrical engineering electronic engineering information engineering0101 mathematicseducationComputingMilieux_MISCELLANEOUSeducation.field_of_studybusiness.industryEstimator020206 networking & telecommunicationsStatistical classificationRandom measureMonte Carlo integrationData miningArtificial intelligencebusinessParticle filtercomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingImportance sampling
researchProduct

On the existence of conditionally invariant probability measures in dynamical systems

2000

Let T : X→X be a measurable map defined on a Polish space X and let Y be a non-trivial subset of X. We give conditions ensuring the existence of conditionally invariant probability measures to non-absorption in Y. For dynamics which are non-singular with respect to some fixed probability measure we supply sufficient conditions for the existence of absolutely continuous conditionally invariant measures. These conditions are satisfied for a wide class of dynamical systems including systems that are Φ-mixing and Gibbs.

Discrete mathematicsClass (set theory)Dynamical systems theoryApplied MathematicsGeneral Physics and AstronomyStatistical and Nonlinear PhysicsAbsolute continuityRandom measurePolish spaceInvariant measureInvariant (mathematics)Mathematical PhysicsProbability measureMathematicsNonlinearity
researchProduct

On the conical density properties of measures on $\mathbb{R}^n$

2005

We compare conical density properties and spherical density properties for general Borel measures on $\mathbb{R}^n$ . As a consequence, we obtain results for packing and Hausdorff measures $\mathcal{P}_h$ and $\mathcal{H}_h$ provided that the gauge function $h$ satisfies certain conditions. One consequence of our general results is the following: let $m, n\,{\in}\,\mathbb{N}, 0\,{\lt}\,s\,{\lt}\,m\,{\leq}\,n$ , $0\,{\lt}\,\eta\,{\lt}\,1$ , and suppose that $V$ is an $m$ -dimensional linear subspace of $\mathbb{R}^n$ . Let $\mu$ be either the $s$ -dimensional Hausdorff measure or the $s$ -dimensional packing measure restricted to a set $A$ with $\mu(A)\,{\lt}\,\infty$ . Then for $\mu$ -almos…

Discrete mathematicsRandom measureGeneral MathematicsDimension functionOuter measureHausdorff measureBorel setσ-finite measureBorel measureLinear subspaceMathematicsMathematical Proceedings of the Cambridge Philosophical Society
researchProduct

Non-Periodic Systems with Continuous Diffraction Measures

2015

The present state of mathematical diffraction theory for systems with continuous spectral components is reviewed and extended. We begin with a discussion of various characteristic examples with singular or absolutely continuous diffraction, and then continue with a more general exposition of a systematic approach via stationary stochastic point processes. Here, the intensity measure of the Palm measure takes the role of the autocorrelation measure in the traditional approach. We furthermore introduce a ‘Palm-type’ measure for general complex-valued random measures that are stationary and ergodic, and relate its intensity measure to the autocorrelation measure.

Random measureMathematical analysisComplex measureInformation theory and measure theoryInvariant measureStatistical physicsDiscrete measureEmpirical measureMeasure (mathematics)Point processMathematics
researchProduct

$L_2$-variation of L\'{e}vy driven BSDEs with non-smooth terminal conditions

2016

We consider the $L_2$-regularity of solutions to backward stochastic differential equations (BSDEs) with Lipschitz generators driven by a Brownian motion and a Poisson random measure associated with a L\'{e}vy process $(X_t)_{t\in[0,T]}$. The terminal condition may be a Borel function of finitely many increments of the L\'{e}vy process which is not necessarily Lipschitz but only satisfies a fractional smoothness condition. The results are obtained by investigating how the special structure appearing in the chaos expansion of the terminal condition is inherited by the solution to the BSDE.

Statistics and Probability$L_{2}$-regularityPure mathematicsSmoothness (probability theory)Malliavin calculus010102 general mathematicsChaos expansionPoisson random measureFunction (mathematics)Lipschitz continuityMalliavin calculus01 natural sciencesLévy process010104 statistics & probabilityStochastic differential equationMathematics::ProbabilityLévy processesbackward stochastic differential equations0101 mathematicsL 2 -regularityBrownian motionMathematics - ProbabilityMathematics
researchProduct