Search results for "60D05"

showing 6 items of 6 documents

Hard-Core Thinnings of Germ‒Grain Models with Power-Law Grain Sizes

2013

Random sets with long-range dependence can be generated using a Boolean model with power-law grain sizes. We study thinnings of such Boolean models which have the hard-core property that no grains overlap in the resulting germ‒grain model. A fundamental question is whether long-range dependence is preserved under such thinnings. To answer this question, we study four natural thinnings of a Poisson germ‒grain model where the grains are spheres with a regularly varying size distribution. We show that a thinning which favors large grains preserves the slow correlation decay of the original model, whereas a thinning which favors small grains does not. Our most interesting finding concerns the c…

Statistics and ProbabilityRegular variationDisjoint sets02 engineering and technologyPoisson distribution60D05 60G55Power law01 natural sciencesmarked Poisson processsymbols.namesake010104 statistics & probabilityFOS: Mathematics0202 electrical engineering electronic engineering information engineeringgerm‒grain modelGermStatistical physics60D050101 mathematicsMathematicsta115ta114ThinningBoolean modelApplied MathematicsProbability (math.PR)ta111Boolean model020206 networking & telecommunicationsHard sphereshard-core modelsymbolsSPHERES60G55hard-sphere modelMathematics - ProbabilityAdvances in Applied Probability
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A multi-scale area-interaction model for spatio-temporal point patterns

2018

Models for fitting spatio-temporal point processes should incorporate spatio-temporal inhomogeneity and allow for different types of interaction between points (clustering or regularity). This paper proposes an extension of the spatial multi-scale area-interaction model to a spatio-temporal framework. This model allows for interaction between points at different spatio-temporal scales and the inclusion of covariates. We fit the proposed model to varicella cases registered during 2013 in Valencia, Spain. The fitted model indicates small scale clustering and regularity for higher spatio-temporal scales.

FOS: Computer and information sciencesStatistics and ProbabilityScale (ratio)Computer scienceManagement Monitoring Policy and LawMulti-scale area-interaction modelcomputer.software_genreVaricella01 natural sciencesPoint processMethodology (stat.ME)010104 statistics & probability0502 economics and businessStatisticsCovariate60D05 60G55 62M30Point (geometry)0101 mathematicsComputers in Earth SciencesCluster analysisStatistics - Methodology050205 econometrics 05 social sciencesInteraction modelExtension (predicate logic)Gibbs point processesComputingMethodologies_PATTERNRECOGNITIONSpatio-temporal point processesData miningcomputer
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Dimensions of random affine code tree fractals

2014

We calculate the almost sure Hausdorff dimension for a general class of random affine planar code tree fractals. The set of probability measures describing the randomness includes natural measures in random $V$-variable and homogeneous Markov constructions.

Discrete mathematicsCode (set theory)v-variable fractalsApplied MathematicsGeneral MathematicsProbability (math.PR)ta111Dynamical Systems (math.DS)self-similar setsTree (descriptive set theory)Box countingFractalIterated function systemMathematics - Classical Analysis and ODEsHausdorff dimensionClassical Analysis and ODEs (math.CA)FOS: MathematicsAffine transformationMathematics - Dynamical Systems28A80 60D05 37H99RandomnessMathematics - ProbabilityMathematics
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A nonstationary cylinder-based model describing group dispersal in a fragmented habitat

2014

International audience; A doubly nonstationary cylinder-based model is built to describe the dispersal of a population from a point source. In this model, each cylinder represents a fraction of the population, i.e., a group. Two contexts are considered: The dispersal can occur in a uniform habitat or in a fragmented habitat described by a conditional Boolean model. After the construction of the models, we investigate their properties: the first and second order moments, the probability that the population vanishes, and the distribution of the spatial extent of the population.

Statistics and ProbabilityPoint sourcePopulation92D25Spatial extentFragmentationStatisticsRandom cylinder92D30CylinderQuantitative Biology::Populations and EvolutionObject-based model[INFO]Computer Science [cs]Statistical physics60D05[MATH]Mathematics [math]educationMathematics60G60ta112education.field_of_studyBoolean modelApplied MathematicsFragmentation (computing)Boolean modelDispersal60K37HabitatModeling and Simulation60K9992D40Biological dispersalPopulation vanishing60G55Distribution (differential geometry)
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The second-order analysis of marked spatio-temporal point processes, with an application to earthquake data

2016

To analyse interaction in marked spatio-temporal point processes (MSTPPs), we introduce marked (cross) second-order reduced moment measures and K-functions for general inhomogeneous second-order intensity reweighted stationary MSTPPs. These summary statistics, which allow us to quantify dependence between different mark categories of the points, are depending on the specific mark space and mark reference measure chosen. We also look closer at how the summary statistics reduce under assumptions such as the MSTPP being multivariate and/or stationary. A new test for independent marking is devised and unbiased minus-sampling estimators are derived for all statistics considered. In addition, we …

Methodology (stat.ME)FOS: Computer and information sciences60G55 60D05 62M30Statistics - Methodology
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Random cutout sets with spatially inhomogeneous intensities

2015

We study the Hausdorff dimension of Poissonian cutout sets defined via inhomogeneous intensity measures on Ahlfors-regular metric spaces. We obtain formulas for the Hausdorff dimension of such cutouts in self-similar and self-conformal spaces using the multifractal decomposition of the average densities for the natural measures.

General MathematicsStructure (category theory)Hausdorff dimensionDynamical Systems (math.DS)01 natural sciencesMeasure (mathematics)010104 statistics & probabilityCorollaryDimension (vector space)Classical Analysis and ODEs (math.CA)FOS: MathematicsMathematics::Metric Geometry0101 mathematicsMathematics - Dynamical SystemsMathematicsmatematiikkaHausdorffin dimensioProbability (math.PR)010102 general mathematicsMathematical analysisMultifractal systemPoissonian CutoutMetric spaceMathematics - Classical Analysis and ODEsHausdorff dimensionPrimary 60D05 Secondary 28A80 37D35 37C45Intensity (heat transfer)Mathematics - Probability
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