Search results for "Association."

showing 10 items of 1723 documents

The shifting evocations of squadrismo: remembering the massacre of Palazzo d'Accursio in Fascist Bologna

2016

The massacre of Palazzo d’Accursio is considered one of the first events in the rise of the Fascist squads. This article analyzes the ways in which the event was described in Bologna during the twenty years that followed it. It is believed that in the first few years, commemorations that emphasized the role of the Fascist squads were not very common. Instead, they concentrated on the life of Giulio Giordani, a murdered lawyer and opposition councilor, who became a martyr. Members of the city’s ruling class, especially lawyers, developed their own rituals of commemoration, but the establishment of the regime led to the acquisition of the commemorations of Giordani by Fascism, reflecting the …

Squadrismo Fascism in Bologna memory of the squadrismo Fascism and public commemorations Fascism and the local ruling class lawyers’ associations during Fascismfascismo squadrismo memoria dello squadrismo
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The gaia-eso survey: dynamical analysis of the l1688 region in ophiuchus

2016

The Gaia ESO Public Spectroscopic Survey (GES) is providing the astronomical community with high-precision measurements of many stellar parameters including radial velocities (RVs) of stars belonging to several young clusters and star-forming regions. One of the main goals of the young cluster observations is to study of their dynamical evolution and provide insight into their future, revealing if they will eventually disperse to populate the field, rather than evolve into bound open clusters. In this paper we report the analysis of the dynamical state of L1688 in the $\rho$~Ophiuchi molecular cloud using the dataset provided by the GES consortium. We performed the membership selection of t…

Stars: formationPopulationFOS: Physical sciencesAstrophysics01 natural sciencesVirial theoremstars: pre-main sequence / open clusters and associations: individual: L1688 / stars: kinematics and dynamics / stars: formation0103 physical scienceseducation010303 astronomy & astrophysicsQCOpen clusters and associations: individual: L1688Solar and Stellar Astrophysics (astro-ph.SR)QBPhysicseducation.field_of_study010308 nuclear & particles physicsStar formationMolecular cloudVelocity dispersionAstronomy and AstrophysicsStars: kinematics and dynamicAstronomy and AstrophysicAstrophysics - Astrophysics of GalaxiesStarsAstrophysics - Solar and Stellar AstrophysicsSpace and Planetary ScienceAstrophysics of Galaxies (astro-ph.GA)OphiuchusStars: pre-main sequenceOpen clusterAstronomy and Astrophysics
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Note brevi a margine della proposta di riforma dei reati ambientali del gruppo di studio dell'associazione dei professori di diritto penale

2022

A partire dall’analisi della proposta di riforma dei reati contro l’ambiente elaborata dal Gruppo di studio dell’Associazione italiana dei Professori di Diritto Penale, il contributo riflette sui principali problemi teorici del diritto penale ambientale (tipizzazione dell’evento lesivo nelle fattispecie di inquinamento e di disastro ambientale, imputazione soggettiva dei delitti aggravati dall’evento, contrasto penale alle c.d. “ecomafie” nel settore dei rifiuti ecc.), mettendo a confronto le soluzioni suggerite nel testo con le prospettive di riforma contenute nella recente Proposta di Direttiva del Parlamento europeo e del Consiglio sulla Protezione dell’ambiente at- traverso il diritto p…

Starting from the analysis of the proposal for the reform of crimes against the environment drawn up by the Study Group of the Italian Association of Professors of Criminal Law the paper reflects on the main theoretical problems of environmental criminal law (typification of the event in pollution crime and environmental disaster crime mental element of crimes aggravated by the event fight to the so-called “ecomafie” in the waste sector etc.) comparing the solutions suggested in the text with the recent Proposal for a Directive of the European Parliament and of the Council on the Protection of the Environment through Criminal Law that replaces Directive 2008/99.Settore IUS/17 - Diritto Penale
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An association model for bivariate data with application to the anlysis of university students' success.

2015

The academic success of students is a priority for all universities. We analyze the students' success at university by considering their performance in terms of both ‘qualitative performance’, measured by their mean grade, and ‘quantitative performance’, measured by university credits accumulated. These data come from an Italian University and concern a cohort of students enrolled at the Faculty of Economics. To jointly model both the marginal relationships and the association structure with covariates, we fit a bivariate ordered logistic model by penalized maximum likelihood estimation. The penalty term we use allows us to smooth the association structure and enlarge the range of possible …

Statistics and Probability05 social sciencesBivariate analysisLogistic regression01 natural sciencesTerm (time)010104 statistics & probabilityGoodness of fitBivariate data0502 economics and businessStatisticsCovariateEconometricsRange (statistics)Settore SECS-S/05 - Statistica Sociale050207 economics0101 mathematicsStatistics Probability and UncertaintyAssociation (psychology)Mathematicsmodels for association students' performance bivariate ordinal response Dale's model maximum penalized likelihood estimation
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A penalized approach for the bivariate ordered logistic model with applications to social and medical data

2018

Bivariate ordered logistic models (BOLMs) are appealing to jointly model the marginal distribution of two ordered responses and their association, given a set of covariates. When the number of categories of the responses increases, the number of global odds ratios to be estimated also increases, and estimation gets problematic. In this work we propose a non-parametric approach for the maximum likelihood (ML) estimation of a BOLM, wherein penalties to the differences between adjacent row and column effects are applied. Our proposal is then compared to the Goodman and Dale models. Some simulation results as well as analyses of two real data sets are presented and discussed.

Statistics and ProbabilityAssociation (object-oriented programming)05 social sciencesDale modelBivariate analysisLogistic regression01 natural sciencesbivariate ordered logistic modelSet (abstract data type)010104 statistics & probabilityordinal associationpenalized maximum likelihood estimation0502 economics and businessStatisticsCovariateDale model bivariate ordered logistic model penalized maximum likelihood estimation ordinal associationSettore SECS-S/05 - Statistica Sociale0101 mathematicsStatistics Probability and UncertaintyMarginal distributionSettore SECS-S/01 - Statistica050205 econometrics MathematicsOrdinal association
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Expert-based versus citation-based ranking of scholarly and scientific publication channels

2016

Abstract The Finnish publication channel quality ranking system was established in 2010. The system is expert-based, where separate panels decide and update the rankings of a set of publications channels allocated to them. The aggregated rankings have a notable role in the allocation of public resources into universities. The purpose of this article is to analyze this national ranking system. The analysis is mainly based on two publicly available databases containing the publication source information and the actual national publication activity information. Using citation-based indicators and other available information with association rule mining, decision trees, and confusion matrices, …

Statistics and ProbabilityAssociation rule learningPerformance-based fundingComputer sciencemedia_common.quotation_subjectDecision treeScopusManagement Science and Operations ResearchLibrary and Information Sciences050905 science studiesModelling and SimulationScopusQuality (business)Reference modelmedia_commonta113Information retrievalApplied Mathematics05 social sciencesRank (computer programming)Journal citation reportsData scienceComputer Science ApplicationsRankingFinnish ranking system0509 other social sciences050904 information & library sciencesCitationJournal evaluationJournal of Informetrics
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Cluster-Localized Sparse Logistic Regression for SNP Data

2012

The task of analyzing high-dimensional single nucleotide polymorphism (SNP) data in a case-control design using multivariable techniques has only recently been tackled. While many available approaches investigate only main effects in a high-dimensional setting, we propose a more flexible technique, cluster-localized regression (CLR), based on localized logistic regression models, that allows different SNPs to have an effect for different groups of individuals. Separate multivariable regression models are fitted for the different groups of individuals by incorporating weights into componentwise boosting, which provides simultaneous variable selection, hence sparse fits. For model fitting, th…

Statistics and ProbabilityBoosting (machine learning)Computer scienceMultivariable calculusComputational BiologyHigh-Throughput Nucleotide SequencingFeature selectionRegression analysisModels TheoreticalLogistic regressioncomputer.software_genrePolymorphism Single NucleotideRegressionComputational MathematicsLogistic ModelsData Interpretation StatisticalGeneticsCluster AnalysisHumansData miningCluster analysisMolecular BiologyUnit-weighted regressioncomputerGenome-Wide Association StudyStatistical Applications in Genetics and Molecular Biology
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Multiple testing in candidate gene situations: a comparison of classical, discrete, and resampling-based procedures.

2011

In candidate gene association studies, usually several elementary hypotheses are tested simultaneously using one particular set of data. The data normally consist of partly correlated SNP information. Every SNP can be tested for association with the disease, e.g., using the Cochran-Armitage test for trend. To account for the multiplicity of the test situation, different types of multiple testing procedures have been proposed. The question arises whether procedures taking into account the discreteness of the situation show a benefit especially in case of correlated data. We empirically evaluate several different multiple testing procedures via simulation studies using simulated correlated SN…

Statistics and ProbabilityCandidate geneContrast (statistics)computer.software_genrePolymorphism Single NucleotideSet (abstract data type)Computational MathematicsSample size determinationResamplingData Interpretation StatisticalSample SizeStatisticsMultiple comparisons problemGeneticsCochran–Armitage test for trendRange (statistics)HumansComputer SimulationDiseaseData miningMolecular BiologycomputerGenetic Association StudiesMathematicsStatistical applications in genetics and molecular biology
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Latent class models for multiple ordered categorical health data: testing violation of the local independence assumption

2019

Latent class models are now widely applied in health economics to analyse heterogeneity in multiple outcomes generated by subgroups of individuals who vary in unobservable characteristics, such as genetic information or latent traits. These models rely on the underlying assumption that associations between observed outcomes are due to their relationship to underlying subgroups, captured in these models by conditioning on a set of latent classes. This implies that outcomes are locally independent within a class. Local independence assumption, however, is sometimes violated in practical applications when there is uncaptured unobserved heterogeneity resulting in residual associations between c…

Statistics and ProbabilityHealthcare utilizationEconomics and EconometricsClass (set theory)Categorical health dataEconomicsComputer science05 social sciencesContext (language use)UnobservableOutcome (probability)Health insuranceLocal independence assumptionMathematics (miscellaneous)0502 economics and businessEconometricsLatent class model050207 economicsLocal independenceSet (psychology)Association (psychology)Categorical variable14 EconomicsSocial Sciences (miscellaneous)050205 econometrics Empirical Economics
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Local inhomogeneous second-order characteristics for spatio-temporal point processes occurring on linear networks

2022

AbstractPoint processes on linear networks are increasingly being considered to analyse events occurring on particular network-based structures. In this paper, we extend Local Indicators of Spatio-Temporal Association (LISTA) functions to the non-Euclidean space of linear networks, allowing to obtain information on how events relate to nearby events. In particular, we propose the local version of two inhomogeneous second-order statistics for spatio-temporal point processes on linear networks, the K- and the pair correlation functions. We put particular emphasis on the local K-functions, deriving come theoretical results which enable us to show that these LISTA functions are useful for diagn…

Statistics and ProbabilityLocal Indicators of Spatio-Temporal Associationlocal propertiessecond-order characteristicsresidual analysislinear networksspatio-temporal point patternsStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaLinear networks Local Indicators of Spatio-temporal Association Local properties Residual analysis Second-order characteristics Spatio-temporal point patterns
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