Search results for "probability"

showing 10 items of 3417 documents

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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The History of ViSta: The Visual Statistics System

2012

ViSta is a project that focuses on dynamic and interactive graphics for statistics and was initiated by the late Forrest W. Young at the beginning of the 1990s. For over approximately 20 years, Forrest and other collaborators, including the authors of this article, have used ViSta for experimenting with these kinds of graphics in different settings, applying them to different scenarios of data and statistical analysis, searching to develop the right combination of features most appropriate in each case. In this time, ViSta evolved quite considerably, going through what we reckon were three different stages, namely: the initial one setting forth the foundations of ViSta; the second period wh…

Statistics and ProbabilityData visualizationComputer sciencebusiness.industryStatisticsTributeStatistical analysisGraphicsbusinessStatistical graphicsPeriod (music)Interactive graphicsWiley Interdisciplinary Reviews: Computational Statistics
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Galaxy LIMS for next-generation sequencing.

2013

Abstract Summary: We have developed a laboratory information management system (LIMS) for a next-generation sequencing (NGS) laboratory within the existing Galaxy platform. The system provides lab technicians standard and customizable sample information forms, barcoded submission forms, tracking of input sample quality, multiplex-capable automatic flow cell design and automatically generated sample sheets to aid physical flow cell preparation. In addition, the platform provides the researcher with a user-friendly interface to create a request, submit accompanying samples, upload sample quality measurements and access to the sequencing results. As the LIMS is within the Galaxy platform, the …

Statistics and ProbabilityDatabasebusiness.industryComputer scienceSample (material)Interface (computing)High-Throughput Nucleotide Sequencingcomputer.software_genreBiochemistryDNA sequencingComputer Science ApplicationsWorkflowWorld Wide WebComputational MathematicsUser-Computer InterfaceSoftwareComputational Theory and MathematicsbusinessMolecular BiologycomputerSoftwareInformation SystemsBioinformatics (Oxford, England)
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Textual data compression in computational biology: a synopsis.

2009

Abstract Motivation: Textual data compression, and the associated techniques coming from information theory, are often perceived as being of interest for data communication and storage. However, they are also deeply related to classification and data mining and analysis. In recent years, a substantial effort has been made for the application of textual data compression techniques to various computational biology tasks, ranging from storage and indexing of large datasets to comparison and reverse engineering of biological networks. Results: The main focus of this review is on a systematic presentation of the key areas of bioinformatics and computational biology where compression has been use…

Statistics and ProbabilityDatabases Factualbusiness.industryComputer sciencemedia_common.quotation_subjectSearch engine indexingcompression dataComputational BiologyInformation Storage and RetrievalComputational biologyBiochemistryData scienceComputer Science ApplicationsComputational MathematicsPresentationSoftwareComputational Theory and MathematicsBenchmark (computing)businessMolecular BiologyBiological networkSoftwareData compressionmedia_commonBioinformatics (Oxford, England)
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Visualizing the flow of evidence in network meta-analysis and characterizing mixed treatment comparisons

2013

Network meta-analysis techniques allow for pooling evidence from different studies with only partially overlapping designs for getting a broader basis for decision support. The results are network-based effect estimates that take indirect evidence into account for all pairs of treatments. The results critically depend on homogeneity and consistency assumptions, which are sometimes difficult to investigate. To support such evaluation, we propose a display of the flow of evidence and introduce new measures that characterize the structure of a mixed treatment comparison. Specifically, a linear fixed effects model for network meta-analysis is considered, where the network estimates for two trea…

Statistics and ProbabilityDecision support systemEpidemiologyComputer scienceHomogeneity (statistics)PoolingLinear modelFixed effects modelDirected acyclic graphcomputer.software_genrePath lengthData miningLinear combinationcomputerStatistics in Medicine
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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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Weighted distance-based trees for ranking data

2017

Within the framework of preference rankings, the interest can lie in finding which predictors and which interactions are able to explain the observed preference structures, because preference decisions will usually depend on the characteristics of both the judges and the objects being judged. This work proposes the use of a univariate decision tree for ranking data based on the weighted distances for complete and incomplete rankings, and considers the area under the ROC curve both for pruning and model assessment. Two real and well-known datasets, the SUSHI preference data and the University ranking data, are used to display the performance of the methodology.

Statistics and ProbabilityDecision tree03 medical and health sciences0302 clinical medicine0504 sociology030225 pediatricsPreference dataStatisticsDecision treePruning (decision trees)University ranking dataDistance-based methodMathematicsWeighted distanceApplied Mathematics05 social sciencesUnivariate050401 social sciences methodsSUSHI dataComputer Science Applications1707 Computer Vision and Pattern RecognitionPreferenceComputer Science ApplicationsRankingRanking dataKemeny distanceSettore SECS-S/01 - StatisticaArea under the roc curve
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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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