@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00817262v1> a dcat:Dataset ;
    dct:description """
              In this paper, we consider nonparametric copula inference under bivariate censoring. Based on an estimator of the joint cumulative distribution function, we define a discrete and two smooth estimators of the copula. The construction that we propose is valid for a large number of estimators of the distribution function, and therefore for a large number of bivariate censoring frameworks. Under some conditions on the tails of the distributions, the weak convergence of the corresponding copula processes is obtained in $l^{\\infty}([0,1]^2).$ We derive the uniform convergence rates of the copula density estimators deduced from our smooth copula estimators. Investigation on the practical behavior of our estimators is done through a simulation study and two real data applications, corresponding to different censoring settings. We use our nonparametric estimators to define a goodness-of-fit procedure for parametric copula models. A new bootstrap scheme is proposed to compute the critical values.
            """ ;
    dct:identifier "hal-00817262" ;
    dct:issued "2026-05-11T07:55:42.451094"^^xsd:dateTime ;
    dct:language "en" ;
    dct:modified "2026-05-11T07:55:42.451100"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "Nonparametric copula estimation under bivariate censoring" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00817262v1/resource/4a03fb08-da48-4008-ac35-97ebc4adcf2a> ;
    dcat:keyword "bivariate-censoring",
        "bootstrap",
        "copula-density",
        "copula-function",
        "goodness-of-fit",
        "infoeu-reposemanticspreprint",
        "kaplan-meier-estimator",
        "mathmath-stmathematics-mathstatistics-mathst",
        "nonparametric-estimation",
        "preprints-working-papers-",
        "statthstatistics-statstatistics-theory-statth",
        "survival-analysis" ;
    dcat:landingPage <https://hal.science/hal-00817262> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00817262v1/resource/4a03fb08-da48-4008-ac35-97ebc4adcf2a> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-11T07:55:42.474256"^^xsd:dateTime ;
    dct:modified "2026-05-11T07:55:42.433175"^^xsd:dateTime ;
    dct:title "Nonparametric copula estimation under bivariate censoring" ;
    dcat:accessURL <https://hal.science/hal-00817262> .

<https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> a foaf:Agent ;
    foaf:name "test_moissonnage_selune" .

<https://hal.science/hal-00817262> a foaf:Document .