Search results for "Uncertainty"

showing 10 items of 1010 documents

WOODIV, a database of occurrences, functional traits, and phylogenetic data for all Euro-Mediterranean trees

2021

Trees play a key role in the structure and function of many ecosystems worldwide. In the Mediterranean Basin, forests cover approximately 22% of the total land area hosting a large number of endemics (46 species). Despite its particularities and vulnerability, the biodiversity of Mediterranean trees is not well known at the taxonomic, spatial, functional, and genetic levels required for conservation applications. The WOODIV database fills this gap by providing reliable occurrences, four functional traits (plant height, seed mass, wood density, and specific leaf area), and sequences from three DNA-regions (rbcL, matK, and trnH-psbA), together with modelled occurrences and a phylogeny for all…

Statistics and ProbabilityData DescriptorDatabases FactualMediterranean RegionConservation biologySettore BIO/02 - Botanica SistematicaScienceQBiodiversityLibrary and Information SciencesTreesComputer Science ApplicationsEducationBiogeographySettore BIO/03 - Botanica Ambientale E Applicata[SDE]Environmental SciencesForestCommunity ecologyStatistics Probability and UncertaintyForest ecologyEcosystemPhylogenyInformation Systems
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Spanish electoral archive. SEA database

2021

This paper introduces the SEA database (acronym for Spanish Electoral Archive). SEA brings together the most complete public repository available to date on Spanish election outcomes. SEA holds all the results recorded from the electoral processes of General (1979–2019), Regional (1989–2021), Local (1979–2019) and European Parliamentary (1987–2019) elections held in Spain since the restoration of democracy in the late 70 s, in addition to other data sets with electoral content. The data are offered for free and is presented in a homogeneous and friendly format. Most of the databases are available for download with data from various electoral levels, including from the ballot box level. This…

Statistics and ProbabilityData DescriptorHistoryDownloadSciencemedia_common.quotation_subject0211 other engineering and technologiesInference02 engineering and technologyLibrary and Information Sciencescomputer.software_genre01 natural sciencesEducation010104 statistics & probabilitySociologyVotingPolitical scienceAcronymSociety0101 mathematicsmedia_commonDatabaseQPolitics021107 urban & regional planningTurnoutDemocracyComputer Science ApplicationsMetadataBallotGovernmentEconomia Mètodes estadísticsStatistics Probability and UncertaintycomputerInformation SystemsScientific Data
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A database for the monitoring of thermal anomalies over the Amazon forest and adjacent intertropical oceans

2015

AbstractAdvances in information technologies and accessibility to climate and satellite data in recent years have favored the development of web-based tools with user-friendly interfaces in order to facilitate the dissemination of geo/biophysical products. These products are useful for the analysis of the impact of global warming over different biomes. In particular, the study of the Amazon forest responses to drought have recently received attention by the scientific community due to the occurrence of two extreme droughts and sustained warming over the last decade. Thermal Amazoni@ is a web-based platform for the visualization and download of surface thermal anomalies products over the Ama…

Statistics and ProbabilityData DescriptorRainforestDatabases FactualDownloadOceans and SeasBiomeRainforestLibrary and Information SciencesGlobal WarmingEducationEffects of global warmingServerBaseline (configuration management)Global warmingTropical ecologyComputer Science ApplicationsOceanographyClimatologyEnvironmental scienceSatelliteForest ecologyStatistics Probability and UncertaintyClimate-change impactsSoftwareInformation SystemsScientific Data
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Statistical inference and Monte Carlo algorithms

1996

This review article looks at a small part of the picture of the interrelationship between statistical theory and computational algorithms, especially the Gibbs sampler and the Accept-Reject algorithm. We pay particular attention to how the methodologies affect and complement each other.

Statistics and ProbabilityDecision theoryMonte Carlo methodMarkov chain Monte CarloStatistics::ComputationComplement (complexity)symbols.namesakeStatistical inferencesymbolsMonte Carlo method in statistical physicsStatistics Probability and UncertaintyStatistical theoryAlgorithmGibbs samplingMathematicsTest
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Ergodicity for a stochastic Hodgkin–Huxley model driven by Ornstein–Uhlenbeck type input

2013

We consider a model describing a neuron and the input it receives from its dendritic tree when this input is a random perturbation of a periodic deterministic signal, driven by an Ornstein-Uhlenbeck process. The neuron itself is modeled by a variant of the classical Hodgkin-Huxley model. Using the existence of an accessible point where the weak Hoermander condition holds and the fact that the coefficients of the system are analytic, we show that the system is non-degenerate. The existence of a Lyapunov function allows to deduce the existence of (at most a finite number of) extremal invariant measures for the process. As a consequence, the complexity of the system is drastically reduced in c…

Statistics and ProbabilityDegenerate diffusion processesWeak Hörmander conditionType (model theory)01 natural sciencesPeriodic ergodicity010104 statistics & probability60H0760J25FOS: Mathematics0101 mathematicsComputingMilieux_MISCELLANEOUSMathematical physicsMathematics60J60Quantitative Biology::Neurons and CognitionProbability (math.PR)010102 general mathematicsErgodicityOrnstein–Uhlenbeck processHodgkin–Huxley model[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Hodgkin–Huxley model60J60 60J25 60H07Statistics Probability and UncertaintyTime inhomogeneous diffusion processesMathematics - Probability
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Variance Estimation and Asymptotic Confidence Bands for the Mean Estimator of Sampled Functional Data with High Entropy Unequal Probability Sampling …

2013

For fixed size sampling designs with high entropy it is well known that the variance of the Horvitz-Thompson estimator can be approximated by the Hajek formula. The interest of this asymptotic variance approximation is that it only involves the first order inclusion probabilities of the statistical units. We extend this variance formula when the variable under study is functional and we prove, under general conditions on the regularity of the individual trajectories and the sampling design, that it asymptotically provides a uniformly consistent estimator of the variance function of the Horvitz-Thompson estimator of the mean function. Rates of convergence to the true variance function are gi…

Statistics and ProbabilityDelta methodEfficient estimatorMinimum-variance unbiased estimatorBias of an estimatorMean squared errorConsistent estimatorStatisticsVariance reductionStatistics Probability and UncertaintyMathematicsVariance functionScandinavian Journal of Statistics
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Intensity estimation for inhomogeneous Gibbs point process with covariates-dependent chemical activity

2014

Recent development of intensity estimation for inhomogeneous spatial point processes with covariates suggests that kerneling in the covariate space is a competitive intensity estimation method for inhomogeneous Poisson processes. It is not known whether this advantageous performance is still valid when the points interact. In the simplest common case, this happens, for example, when the objects presented as points have a spatial dimension. In this paper, kerneling in the covariate space is extended to Gibbs processes with covariates-dependent chemical activity and inhibitive interactions, and the performance of the approach is studied through extensive simulation experiments. It is demonstr…

Statistics and ProbabilityDimensionality reductionNonparametric statisticsPoisson distributionPoint processsymbols.namesakeDimension (vector space)CovariatesymbolsEconometricsStatistics::MethodologyStatistical physicsStatistics Probability and UncertaintySmoothingMathematicsParametric statisticsStatistica Neerlandica
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Graphical representation of some duality relations in stochastic population models

2007

We derive a unified stochastic picture for the duality of a resampling-selection model with a branching-coalescing particle process (cf. http://www.ams.org/mathscinet-getitem?mr=MR2123250) and for the self-duality of Feller's branching diffusion with logistic growth (cf. math/0509612). The two dual processes are approximated by particle processes which are forward and backward processes in a graphical representation. We identify duality relations between the basic building blocks of the particle processes which lead to the two dualities mentioned above.

Statistics and ProbabilityDiscrete mathematicsDualityProcess (engineering)Feller's branching diffusionProbability (math.PR)Duality (optimization)Dual (category theory)Algebragraphical representationbranching-coalescing particle processstochastic population dynamicsPopulation model60K35resampling-selection modelMathematikFOS: MathematicsStatistics Probability and UncertaintyLogistic functionDiffusion (business)Representation (mathematics)Mathematics - ProbabilityMathematics
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Inference based on the affine invariant multivariate Mann–Whitney–Wilcoxon statistic

2003

A new affine invariant multivariate analogue of the two-sample Mann–Whitney–Wilcoxon test based on the Oja criterion function is introduced. The associated affine equivariant estimate of shift, the multivariate Hodges-Lehmann estimate, is also considered. Asymptotic theory is developed to provide approximations for null distribution as well as for a sequence of contiguous alternatives to consider limiting efficiencies of the test and estimate. The theory is illustrated by an example. Hettmansperger et al. [9] considered alternative slightly different affine invariant extensions also based on the Oja criterion. The methods proposed in this paper are computationally more intensive, but surpri…

Statistics and ProbabilityDiscrete mathematicsMultivariate statisticsWilcoxon signed-rank testNull distributionMatrix t-distributionApplied mathematicsMultivariate normal distributionAffine transformationStatistics Probability and UncertaintyMathematicsNormal-Wishart distributionMultivariate stable distributionJournal of Nonparametric Statistics
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Erratum: Partition function of the trigonometric SOS model with reflecting end

2010

Statistics and ProbabilityDiscrete mathematicsPartition function (quantum field theory)Statistical and Nonlinear PhysicsStatistics Probability and UncertaintyTrigonometryMathematicsJournal of Statistical Mechanics: Theory and Experiment
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