Search results for "Statistic"

showing 10 items of 12520 documents

Methodological advances in the functional profiling of genomic studies

2013

In this thesis we present bioinformatic tools and algorithms for the analysis of genomic data such as those generated by microarray devices or next generation sequencing techniques. Particularly, we develop new approaches to gene set analysis. The described procedures should be useful in practice to tackle complex biological experiments, but hopefully will also be methodologically relevant, as they introduce new ways of conceptualizing genomic functional profiling. Our very flexible approach allows for the inclusion of not just one kind of genomic measurement but many. It makes possible, for instance, to analyze expression measurement and genomic variation data at a time. This multidimensio…

functional profiling:CIENCIAS DE LA VIDA::Genética [UNESCO]:MATEMÁTICAS::Estadística::Análisis de datos [UNESCO]logistic regressionUNESCO::MATEMÁTICAS::Estadística::Análisis multivariantebiostatisticsbioinformaticsUNESCO::MATEMÁTICAS::Estadística::Análisis de datos:CIENCIAS DE LA VIDA::Biometría [UNESCO]ComputingMethodologies_PATTERNRECOGNITIONUNESCO::CIENCIAS DE LA VIDA::Genéticastatistics:MATEMÁTICAS::Estadística::Análisis multivariante [UNESCO]gene set analysisgenomicsUNESCO::CIENCIAS DE LA VIDA::Biometría
researchProduct

Effects of Functional Strength Training on Functional Movement and Balance in Middle-Aged Adults

2021

Functional movement deficiencies cause falls and injuries in adults. Functional strength training (FST) is emerging as a new training method for athletes, middle-aged and older adults, to improve functional movement: The present study was conducted in order to investigate the effects of FST on balance and functional movement in healthy and independent middle-aged adults. The sample for this study consisted of 46 physically active individuals (24 female and 22 male). A total of 46 subjects were divided based on randomly into the functional strength training (FST) group (n = 26) aged: 51.55 ± 3.73 years; height: 168.69 ± 8.8 cm; body mass: 75.88 ± 12.18; and traditional s…

functional strengthFunctional trainingmedicine.medical_specialtyAdults Balance Fall risk FMS Functional strengthStrength trainingfall riskGeography Planning and DevelopmentStatistical differenceTJ807-830Management Monitoring Policy and LawTD194-195Renewable energy sourcesadults; balance; fall risk; FMS; functional strength03 medical and health sciences0302 clinical medicineadultsmedicineGE1-350030212 general & internal medicineFunctional movementBalance (ability)Environmental effects of industries and plantsbiologyRenewable Energy Sustainability and the EnvironmentAthletesbusiness.industryFMSbalance030229 sport sciencesbiology.organism_classificationTraining methodsEnvironmental sciencesBalance performancePhysical therapybusinessSettore M-EDF/01 - Metodi E Didattiche Delle Attivita' Motoriehuman activitiesSustainability
researchProduct

Estimating finite mixtures of semi-Markov chains: an application to the segmentation of temporal sensory data

2019

Summary In food science, it is of great interest to obtain information about the temporal perception of aliments to create new products, to modify existing products or more generally to understand the mechanisms of perception. Temporal dominance of sensations is a technique to measure temporal perception which consists in choosing sequentially attributes describing a food product over tasting. This work introduces new statistical models based on finite mixtures of semi-Markov chains to describe data collected with the temporal dominance of sensations protocol, allowing different temporal perceptions for a same product within a population. The identifiability of the parameters of such mixtur…

futureStatistics and ProbabilityFOS: Computer and information sciencesGamma distributionmiceComputer sciencemedia_common.quotation_subjectPopulationdominancecomputer.software_genreStatistics - Applications01 natural sciencesMethodology (stat.ME)modelsExpectation-maximization algorithmModel-based clustering010104 statistics & probability0404 agricultural biotechnology[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]Bayesian information criterionPerceptionExpectation–maximization algorithmApplications (stat.AP)Temporal dominance of sensations[MATH]Mathematics [math]0101 mathematicseducationStatistics - Methodologymedia_common2. Zero hungereducation.field_of_studyMarkov chainMarkov renewal processStatistical model04 agricultural and veterinary sciencesidentifiabilityMixture modelBayesian information criterion040401 food science[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]IdentifiabilityPenalized likelihoodData miningStatistics Probability and UncertaintycomputertdsCategorical time seriessensations
researchProduct

A Logic Fuzzy Model for Evaluation of the Railway Station’s Practice Capacity in Safety Operating Conditions

2013

Abstract The practice capacity of a railway junction depends, in addition to the effective operation’s conditions, by the potential risk factors related to the design plan of the railway station. With the aim of an approach based on the “fuzzy sets” it is possible to determine the numeric value of the practice capacity by the logic - qualitative relations between the features of the railway junction and the potential risk factors. This methodology permits to try out the absolute value of a suitable vector β, (less then the unit) for the utilization of the theoretic capacity in conditions of maximum reliability of the system related to the aspect of safety (technique “fail safe”).

fuzzy setEngineeringbusiness.industryFuzzy setFuzzy modelDesign planAbsolute value (algebra)railway stationsoperative conditionsReliability engineeringpractice capacitylcsh:TA1-2040railway stations practice capacity fuzzy setSettore ICAR/04 - Strade Ferrovie Ed AeroportiFail-safeNumeric Valuelcsh:Engineering (General). Civil engineering (General)businessReliability (statistics)Civil and Structural EngineeringRailway junctionArchives of Civil Engineering
researchProduct

Some results on generalized coherence of conditional probability bounds

2003

Based on the coherence principle of de Finetti and a related notion of generalized coherence (g-coherence), we adopt a probabilistic approach to uncertainty based on conditional probability bounds. Our notion of g-coherence is equivalent to the 'avoiding uniform loss' property for lower and upper probabilities (a la Walley). Moreover, given a g-coherent imprecise assessment by our algorithms we can correct it obtaining the associated coherent assessment (in the sense of Walley and Williams). As is well known, the problems of checking g-coherence and propagating tight g-coherent intervals are NP and FP^NP complete, respectively, and thus NP-hard. Two notions which may be helpful to reduce co…

g-coherenceUncertain knowledge; coherence; g-coherence; imprecise probabilities; conditional probability bounds; lower and upper probabilities; non relevant gains; basic sets.Settore MAT/06 - Probabilita' E Statistica Matematicanon relevant gainsUncertain knowledgeconditional probability boundslower and upper probabilitiesbasic setsimprecise probabilitiesUncertain knowledge coherence g-coherence imprecise probabilities conditional probability bounds lower and upper probabilities non relevant gains basic setscoherence
researchProduct

Euclid preparation : XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography

2021

The analysis of weak gravitational lensing in wide-field imaging surveys is considered to be a major cosmological probe of dark energy. Our capacity to constrain the dark energy equation of state relies on an accurate knowledge of the galaxy mean redshift ⟨z⟩. We investigate the possibility of measuring ⟨z⟩ with an accuracy better than 0.002 (1 + z) in ten tomographic bins spanning the redshift interval 0.2  99.8%. The zPDF approach can also be successful if the zPDF is de-biased using a spectroscopic training sample. This approach requires deep imaging data but is weakly sensitive to spectroscopic redshift failures in the training sample. We improve the de-biasing method and confirm our fi…

galaksijoukotgalaksitstatistical [methods]distances and redshifts [galaxies]Astrophysics::Cosmology and Extragalactic Astrophysicsdark energypimeä energiakosmologia
researchProduct

Euclid preparation : XXII. Selection of quiescent galaxies from mock photometry using machine learning

2023

The Euclid Space Telescope will provide deep imaging at optical and near-infrared wavelengths, along with slitless near-infrared spectroscopy, across ~15 000deg2 of the sky. Euclid is expected to detect ~12 billion astronomical sources, facilitating new insights into cosmology, galaxy evolution, and various other topics. In order to optimally exploit the expected very large dataset, appropriate methods and software tools need to be developed. Here we present a novel machine-learning-based methodology for the selection of quiescent galaxies using broadband Euclid IE, YE, JE, and HE photometry, in combination with multi-wavelength photometry from other large surveys (e.g. the Rubin LSST). The…

galaksitluokitus (toiminta)koneoppiminenphotometrygalaxiesevolutionfotometriastatisticalgeneral methodshigh-redshift
researchProduct

Persistenza del gap regionale

2008

gap regionaleSettore SECS-S/03 - Statistica Economica
researchProduct

Charge fluctuations and electric mass in a hot meson gas

2006

Net-Charge fluctuations in a hadron gas are studied using an effective hadronic interaction. The emphasis of this work is to investigate the corrections of hadronic interactions to the charge fluctuations of a non-interacting resonance gas. Several methods, such as loop, density and virial expansions are employed. The calculations are also extended to SU(3) and some resummation schemes are considered. Although the various corrections are sizable individually, they cancel to a large extent. As a consequence we find that charge fluctuations are rather well described by the free resonance gas.

gas [meson]Nuclear and High Energy PhysicsNuclear TheoryMesonresonance [gas]HadronFOS: Physical sciencesElectric chargeResonance (particle physics)fluctuation [charge]susceptibilityVirial theoremNuclear Theory (nucl-th)Nuclear physicsmass [rho(770)]electric [mass]unitarityddc:530Resummationnumerical calculationsinteraction [pi pi]Physicshigher-order [correction]effective Lagrangianvirial [expansion]High Energy Physics::PhenomenologySU(3) [symmetry]Charge (physics)relativistic [expansion]quantum [statistics]Quantum electrodynamicsQuark–gluon plasmaPhysical Review C
researchProduct

GASTRIC CANCER (GC) ADJUVANT (A) CHEMOTHERAPY (CT): A LITERATURE BASED META-ANALYSIS (MA)

2010

gastric cancer chemotherapy meta-analysisSettore MED/06 - Oncologia MedicaSettore MED/01 - Statistica Medica
researchProduct