Search results for "Dimension"

showing 10 items of 2766 documents

On the usage of joint diagonalization in multivariate statistics

2022

Scatter matrices generalize the covariance matrix and are useful in many multivariate data analysis methods, including well-known principal component analysis (PCA), which is based on the diagonalization of the covariance matrix. The simultaneous diagonalization of two or more scatter matrices goes beyond PCA and is used more and more often. In this paper, we offer an overview of many methods that are based on a joint diagonalization. These methods range from the unsupervised context with invariant coordinate selection and blind source separation, which includes independent component analysis, to the supervised context with discriminant analysis and sliced inverse regression. They also enco…

Statistics and ProbabilityScatter matricesMultivariate statisticsContext (language use)010103 numerical & computational mathematics01 natural sciencesBlind signal separation010104 statistics & probabilitySliced inverse regression0101 mathematicsB- ECONOMIE ET FINANCESupervised dimension reductionMathematicsNumerical Analysisbusiness.industryCovariance matrixPattern recognitionriippumattomien komponenttien analyysimatemaattinen tilastotiedeLinear discriminant analysisInvariant component selectionIndependent component analysismonimuuttujamenetelmätPrincipal component analysisDimension reductionBlind source separationArtificial intelligenceStatistics Probability and Uncertaintybusiness
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Dimension reduction for time series in a blind source separation context using r

2021

Funding Information: The work of KN was supported by the CRoNoS COST Action IC1408 and the Austrian Science Fund P31881-N32. The work of ST was supported by the CRoNoS COST Action IC1408. The work of JV was supported by Academy of Finland (grant 321883). We would like to thank the anonymous reviewers for their comments which improved the paper and package considerably. Publisher Copyright: © 2021, American Statistical Association. All rights reserved. Multivariate time series observations are increasingly common in multiple fields of science but the complex dependencies of such data often translate into intractable models with large number of parameters. An alternative is given by first red…

Statistics and ProbabilitySeries (mathematics)Stochastic volatilityComputer scienceblind source separation; supervised dimension reduction; RsignaalinkäsittelyDimensionality reductionRsignaalianalyysiContext (language use)CovarianceBlind signal separationQA273-280aikasarja-analyysiR-kieliDimension (vector space)monimuuttujamenetelmätBlind source separationStatistics Probability and UncertaintyTime seriesAlgorithmSoftwareSupervised dimension reduction
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Building up adjusted indicators of students' evaluation of university courses using generalized item response models

2012

This article advances a proposal for building up adjusted composite indicators of the quality of university courses from students’ assessments. The flexible framework of Generalized Item Response Models is adopted here for controlling the sources of heterogeneity in the data structure that make evaluations across courses not directly comparable. Specifically, it allows us to: jointly model students’ ratings to the set of items which define the quality of university courses; explicitly consider the dimensionality of the items composing the evaluation form; evaluate and remove the effect of potential confounding factors which may affect students’ evaluation; model the intra-cluster variabilit…

Statistics and ProbabilityStructure (mathematical logic)Computer sciencemedia_common.quotation_subjectadjusted indicators explanatory item response models multidimensional latent traits multilevel models evaluation of university courses potential confounding factorsRegression analysisData structureAffect (psychology)Multilevel dataComputingMilieux_COMPUTERSANDEDUCATIONEconometricsMathematics educationQuality (business)Settore SECS-S/05 - Statistica SocialeStatistics Probability and UncertaintySet (psychology)Settore SECS-S/01 - Statisticamedia_commonCurse of dimensionality
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IndElec: A Software for Analyzing Party Systems and Electoral Systems

2011

IndElec is a software addressed to compute a wide range of indices from electoral data, which are intended to analyze both party systems and electoral systems in political studies. Further, IndElec can calculate such indices from electoral data at several levels of aggregation, even when the acronyms of some political parties change across districts. As the amount of information provided by IndElec may be considerable, this software also aids the user in the analysis of electoral data through three capabilities. First, IndElec automatically elaborates preliminary descriptive statistical reports of computed indices. Second, IndElec saves the computed information into text files in data matri…

Statistics and ProbabilityWeb browserDatabaseComputer sciencebusiness.industrydisproportionalityparty systemcomputer.software_genreFile formatVisualizationRange (mathematics)Softwareelectoral systemStatistics Probability and Uncertaintybusinessparty dimensionscomputerlcsh:Statisticslcsh:HA1-4737SoftwareWord (computer architecture)Statistical softwareGraphical user interfaceJournal of Statistical Software
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cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values

2023

Sparse graphical models have revolutionized multivariate inference. With the advent of high-dimensional multivariate data in many applied fields, these methods are able to detect a much lower-dimensional structure, often represented via a sparse conditional independence graph. There have been numerous extensions of such methods in the past decade. Many practical applications have additional covariates or suffer from missing or censored data. Despite the development of these extensions of sparse inference methods for graphical models, there have been so far no implementations for, e.g., conditional graphical models. Here we present the general-purpose package cglasso for estimating sparse co…

Statistics and Probabilityconditional Gaussian graphical modelscglasso conditional Gaussian graphical models glasso high-dimensionality sparsity censoring missing dataglassosparsityhigh-dimensionalityconditional Gaussian graphical models glasso high-dimensionality sparsity censoring missing datacglassomissing datacensoringStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaSoftware
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A semiparametric approach to estimate reference curves for biophysical properties of the skin

2006

Reference curves which take one covariable into account such as the age, are often required in medicine, but simple systematic and efficient statistical methods for constructing them are lacking. Classical methods are based on parametric fitting (polynomial curves). In this chapter, we describe a new methodology for the estimation of reference curves for data sets, based on nonparametric estimation of conditional quantiles. The derived method should be applicable to all clinical or more generally biological variables that are measured on a continuous quantitative scale. To avoid the curse of dimensionality when the covariate is multidimensional, a new semiparametric approach is proposed. Th…

Statistics::TheoryKernel density estimationcomputer.software_genre01 natural sciences010104 statistics & probability0502 economics and businessCovariateSliced inverse regressionApplied mathematicsStatistics::MethodologySemiparametric regression0101 mathematics[SHS.ECO] Humanities and Social Sciences/Economics and Finance050205 econometrics MathematicsParametric statisticsDimensionality reduction05 social sciencesNonparametric statistics[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie[SHS.ECO]Humanities and Social Sciences/Economics and Finance3. Good health[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieC140;C630Data miningcomputerQuantile
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Tetrapterosides A and B, two new oleanane-type saponins fromTetrapleura tetraptera

2009

From the stem bark of Tetrapleura tetraptera, two new oleanane-type saponins, tetrapteroside A 3-O-{6-O-[(2E,6S)-2,6-dimethyl-6-hydroxyocta-2,7-dienoyl]-beta-D-glucopyranosyl-(1 --> 2)-beta-D-glucopyranosyl-(1 --> 3)-beta-D-glucopyranosyl-(1 --> 4)-[beta-D-glucopyranosyl-(1 --> 2)]-beta-D-glucopyranosyl}-3,27-dihydroxyoleanolic acid (1), and tetrapteroside B 3-O-{ beta-D-glucopyranosyl-(1 --> 2)-6-O-[(E)-feruloyl]-beta-D-glucopyranosyl-(1 --> 3)-beta-D-glucopyranosyl-(1 --> 4)-[beta-D-glucopyranosyl-(1 --> 2)]-beta-D-glucopyranosyl}-3,27-dihydroxyoleanolic acid (2), were isolated. Further extractions from the roots led to the isolation of four known oleanane-type saponins. Their structures …

Stem barkMagnetic Resonance SpectroscopyMolecular StructureTetrapleura tetrapterabiologyStereochemistryChemistryTetrapteroside BGeneral ChemistryNuclear magnetic resonance spectroscopySaponinsType (model theory)biology.organism_classificationchemistry.chemical_compoundTetrapleuraGeneral Materials ScienceTetrapleuraTwo-dimensional nuclear magnetic resonance spectroscopyOleananeMagnetic Resonance in Chemistry
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Novel Acylated Triterpene Glycosides from Muraltia heisteria

2002

Four new acylated triterpene glycosides (1-4) have been isolated as two inseparable mixtures of the trans- and cis-3,4,5-trimethoxycinnamoyl derivatives (1,2 and 3,4) from the roots of Muraltia heisteria. The structures of these compounds were elucidated by various 1D and 2D NMR techniques, including (1)H and (13)C, COSY, NOESY, HSQC, TOCSY, and HMBC experiments and FABMS. Compounds 3 and 4 were shown to be cytotoxic in a human colon cancer cell line but did not show any ability to potentiate in vitro cisplatin cytotoxicity.

StereochemistryAcylationSaponinPharmaceutical ScienceStereoisomerismPharmacognosyPlant RootsAnalytical ChemistrySouth AfricaTriterpeneDrug DiscoveryTumor Cells CulturedHumansOrganic chemistryNuclear Magnetic Resonance BiomolecularChromatography High Pressure LiquidPharmacologychemistry.chemical_classificationMolecular StructureChemistryHydrolysisOrganic ChemistryGlycosideStereoisomerismBiological activitySaponinsAntineoplastic Agents PhytogenicTriterpenesTerpenoidPolygalaceaeComplementary and alternative medicineMolecular MedicineCisplatinDrug Screening Assays AntitumorHT29 CellsTwo-dimensional nuclear magnetic resonance spectroscopyJournal of Natural Products
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Triterpenoid saponins from the roots of Spergularia marginata.

2016

Phytochemical investigations of the roots of Spergularia marginata had led to the isolation of four previously undescribed triterpenoid saponins, a known one and one spinasterol glycoside. Their structures were established by extensive NMR and mass spectroscopic techniques as 3-O-β-D-glucuronopyranosyl echinocystic acid 28-O-α-L-arabinopyranosyl-(1 → 2)-α-L-rhamnopyranosyl-(1 → 3)-β-D-xylopyranosyl-(1 → 4)-α-L-rhamnopyranosyl-(1 → 2)-α-L- arabinopyranosyl ester, 3-O-β-D-glucopyranosyl-(1 → 3)-β-D-glucuronopyranosyl echinocystic acid 28-O-α-L-arabinopyranosyl-(1 → 2)-α-L-rhamnopyranosyl-(1 → 3)-β-D-xylopyranosyl-(1 → 4)-α-L-rhamnopyranosyl-(1 → 2)- α-L-arabinopyranosyl ester, 3-O-β-D-glucopy…

StereochemistryCaryophyllaceaeCaryophyllaceaePlant ScienceHorticulture01 natural sciencesBiochemistryPlant Rootschemistry.chemical_compoundTriterpenoidHumansOleanolic AcidCytotoxicityMolecular BiologyNuclear Magnetic Resonance Biomolecularchemistry.chemical_classificationbiologyMolecular Structure010405 organic chemistryGlycosideGeneral MedicineSaponinsbiology.organism_classificationTriterpenes0104 chemical sciences010404 medicinal & biomolecular chemistryMoroccoSpinasterolchemistryPhytochemicalTwo-dimensional nuclear magnetic resonance spectroscopySpergulariaPhytochemistry
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Bioactive pyrrole alkaloids isolated from the Red Sea : marine sponge Stylissa carteri

2017

Abstract Fifteen pyrrole alkaloids were isolated from the Red Sea marine sponge Stylissa carteri and investigated for their biological activities. Four of them were dibrominated [(+) dibromophakelline, Z-3-bromohymenialdisine, (±) ageliferin and 3,4-dibromo-1H-pyrrole-2-carbamide], nine compounds were monobrominated [(−) clathramide C, agelongine, (+) manzacidin A, (−) 3-bromomanzacidin D, Z-spongiacidin D, Z-hymenialdisine, 2-debromostevensine, 2-bromoaldisine and 4-bromo-1H-pyrrole-2-carbamide)] and finally, two compounds were non-brominated derivatives viz., E-debromohymenialdisine and aldisine. The structure elucidations of isolated compounds were based on 1D & 2D NMR spectroscopic …

StereochemistryCell Survival01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyCell LineRSchemistry.chemical_compoundAlkaloidsAnimalsHumansPyrrolesProtein kinase ACytotoxicityIndian OceanAgeliferinPyrrolebiologyMolecular Structure010405 organic chemistryKinasebiology.organism_classificationHCT116 Cells0104 chemical sciencesPorifera010404 medicinal & biomolecular chemistrySpongechemistryStylissa carteriDrug Screening Assays AntitumorTwo-dimensional nuclear magnetic resonance spectroscopy
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