@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-00848158v2> a dcat:Dataset ;
    dct:description """
              In this paper, we consider the observation of $n$ i.i.d. mixed Poisson processes with random intensity having an unknown density $f$ on ${\\mathbb R}^+$. For fixed observation time $T$, we propose a nonparametric adaptive strategy to estimate $f$. We use an appropriate Laguerre basis to build adaptive projection estimators. Non-asymptotic upper bounds of the ${\\mathbb L}^2$-integrated risk are obtained and a lower bound is provided, which proves the optimality of the estimator. For large $T$, the variance of the previous method increases, therefore we propose another adaptive strategy. The procedures are illustrated on simulated data.
            """ ;
    dct:identifier "hal-00848158" ;
    dct:issued "2026-05-06T01:29:40.612106"^^xsd:dateTime ;
    dct:language "en" ;
    dct:modified "2026-05-06T01:29:40.612110"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "Adaptive Laguerre density estimation for mixed Poisson models" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00848158v2/resource/dfbf7453-d35a-499a-87ce-525bae880f61> ;
    dcat:keyword "infoeu-reposemanticsarticle",
        "journal-articles",
        "mathmath-stmathematics-mathstatistics-mathst",
        "statthstatistics-statstatistics-theory-statth" ;
    dcat:landingPage <ISSN:%201935-7524> .

<ISSN:%201935-7524> a foaf:Document .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00848158v2/resource/dfbf7453-d35a-499a-87ce-525bae880f61> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-06T01:29:40.622465"^^xsd:dateTime ;
    dct:modified "2026-05-06T01:29:40.605469"^^xsd:dateTime ;
    dct:title "Adaptive Laguerre density estimation for mixed Poisson models" ;
    dcat:accessURL <https://hal.science/hal-00848158> .

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