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hal-01094871v1  Journal articles
Gérard BiauFrédéric ChazalDavid Cohen-SteinerLuc DevroyeCarlos Rodríguez. A weighted k-nearest neighbor density estimate for geometric inference
Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2011, 5, pp.204-237
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tel-00443038v2  Theses
Quentin Merigot. Détection de structure géométrique dans les nuages de points
Mathématiques [math]. Université Nice Sophia Antipolis, 2009. Français
hal-00772444v1  Journal articles
Frédéric ChazalDavid Cohen-SteinerQuentin Merigot. Geometric Inference for Probability Measures
Foundations of Computational Mathematics, Springer Verlag, 2011, 11 (6), pp.733-751. ⟨10.1007/s10208-011-9098-0⟩
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tel-01607782v1  Theses
Eddie Aamari. Convergence Rates for Geometric Inference
Statistics [math.ST]. Université Paris-Saclay, 2017. English. ⟨NNT : 2017SACLS203⟩
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hal-01425558v1  Book sections
Frédéric ChazalDavid Cohen-SteinerAndré LieutierQuentin MerigotBoris Thibert. Inference of curvature using tubular neighborhoods
L. Najman; P. Romon. Lecture Notes in Mathematics, 2184, Springer, pp.133-158, 2017, Modern Approaches to Discrete Curvature, 978-3-319-58001-2. ⟨10.1007/978-3-319-58002-9_4⟩
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tel-01897787v2  Theses
Claire Brécheteau. Vers une vision robuste de l'inférence géométrique
Géométrie métrique [math.MG]. Université Paris Saclay (COmUE), 2018. Français. ⟨NNT : 2018SACLS334⟩
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hal-01521955v3  Journal articles
Eddie AamariJisu KimFrédéric ChazalBertrand MichelAlessandro Rinaldo et al.  Estimating the Reach of a Manifold
Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2019, ⟨10.1214/19-EJS1551⟩
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inria-00607806v1  Journal articles
Claire CaillerieFrédéric ChazalJérôme DedeckerBertrand Michel. Deconvolution for the Wasserstein Metric and Geometric Inference
Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2011, 5, pp.1394-1423. ⟨10.1214/11-EJS646⟩