@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-00789127v2> a dcat:Dataset ;
    dct:description """
              When dealing with classical spike train analysis, the practitioner often performs goodness-of-fit tests to test whether the observed process is a Poisson process, for instance, or if it obeys another type of probabilistic model. In doing so, there is a fundamental plug-in step, where the parameters of the supposed underlying model are estimated. The aim of this article is to show that plug-in has sometimes very undesirable effects. We propose a new method based on subsampling to deal with those plug-in issues in the case of the Kolmogorov- Smirnov test of uniformity. The method relies on the plug-in of good estimates of the underlying model, that have to be consistent with a controlled rate of convergence. Some non parametric estimates satisfying those constraints in the Poisson or in the Hawkes framework are highlighted. Moreover they share adaptive properties that are useful from a practical point of view. We show the performance of those methods on simulated data. We also provide a complete analysis with these tools on single unit activity recorded on a monkey during a sensory-motor task.
            """ ;
    dct:identifier "hal-00789127" ;
    dct:issued "2026-05-09T14:10:33.396214"^^xsd:dateTime ;
    dct:language "en" ;
    dct:modified "2026-05-09T14:10:33.396219"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "Goodness-of-fit tests and nonparametric adaptive estimation for spike train analysis" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00789127v2/resource/cb50b8df-7ba3-476c-8628-1ff77e9fd4a4> ;
    dcat:keyword "adaptive-estimation",
        "goodness-of-fit-test",
        "hawkes-process",
        "infoeu-reposemanticsarticle",
        "journal-articles",
        "mathmath-stmathematics-mathstatistics-mathst",
        "point-processes",
        "poisson-process",
        "sdvneulife-sciences-q-bioneurons-and-cognition-q-bionc",
        "spike-trains-analysis",
        "statthstatistics-statstatistics-theory-statth" ;
    dcat:landingPage <ISSN:%202190-8567> .

<ISSN:%202190-8567> a foaf:Document .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00789127v2/resource/cb50b8df-7ba3-476c-8628-1ff77e9fd4a4> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-09T14:10:33.403051"^^xsd:dateTime ;
    dct:modified "2026-05-09T14:10:33.384958"^^xsd:dateTime ;
    dct:title "Goodness-of-fit tests and nonparametric adaptive estimation for spike train analysis" ;
    dcat:accessURL <https://hal.science/hal-00789127> .

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