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Nicolas Klutchnikoff

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Documents

Publications

Adaptive functional principal components analysis

Sunny G. W. Wang , Valentin Patilea , Nicolas Klutchnikoff
Journal of the Royal Statistical Society. Series B. Methodological, inPress
Journal articles hal-04757472v1
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Optimal 1-Wasserstein distance for WGANs

Arthur Stéphanovitch , Ugo Tanielian , Benoît Cadre , Nicolas Klutchnikoff , Gérard Biau
Bernoulli, 2024, 30 (4), ⟨10.3150/23-BEJ1701⟩
Journal articles hal-04223292v1

Adaptive optimal estimation of irregular mean and covariance functions

Steven Golovkine , Nicolas Klutchnikoff , Valentin Patilea
Bernoulli, inPress
Journal articles hal-03385803v1
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A new adaptive local polynomial density estimation procedure on complicated domains

Karine Bertin , Nicolas Klutchnikoff , Frédéric Ouimet
Bernoulli, In press
Journal articles hal-04177592v1
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Minimax properties of Dirichlet kernel density estimators

Karine Bertin , Christian Genest , Frédéric Ouimet , Nicolas Klutchnikoff
Journal of Multivariate Analysis, 2023, 195, pp.105158. ⟨10.1016/j.jmva.2023.105158⟩
Journal articles hal-03468285v1
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Clustering multivariate functional data using unsupervised binary trees

Steven Golovkine , Nicolas Klutchnikoff , Valentin Patilea
Computational Statistics and Data Analysis, 2022, 168, pp.article n°107376. ⟨10.1016/j.csda.2021.107376⟩
Journal articles hal-03391643v1
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Learning the smoothness of noisy curves with application to online curve estimation

Steven Golovkine , Nicolas Klutchnikoff , Valentin Patilea
Electronic Journal of Statistics , 2022, 16 (1), pp.1485-1560. ⟨10.1214/22-EJS1997⟩
Journal articles hal-03385816v1
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Statistical analysis of a hierarchical clustering algorithm with outliers

Nicolas Klutchnikoff , Audrey Poterie , Laurent Rouviere
Journal of Multivariate Analysis, 2022, 192, pp.article n° 105075. ⟨10.1016/j.jmva.2022.105075⟩
Journal articles hal-03153805v2
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Adaptive regression with Brownian path covariate

Karine Bertin , Nicolas Klutchnikoff
Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques, 2021, 57 (3), pp.1495-1520. ⟨10.1214/20-AIHP1128⟩
Journal articles hal-02332820v1
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Adaptive density estimation on bounded domains under mixing conditions

Karine Bertin , Nicolas Klutchnikoff , José León , Clémentine Prieur
Electronic Journal of Statistics , 2020, 14 (1), pp.2198-2237. ⟨10.1214/20-EJS1682⟩
Journal articles hal-01934913v2
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Adaptive estimation of the stationary density of a stochastic differential equation driven by a fractional Brownian motion

Karine Bertin , Nicolas Klutchnikoff , Fabien Panloup , Maylis Varvenne
Statistical Inference for Stochastic Processes, 2020, 23 (2), pp.271-300. ⟨10.1007/s11203-020-09218-0⟩
Journal articles hal-02503902v1
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Adaptive density estimation on bounded domains

Karine Bertin , Salima El Kolei , Nicolas Klutchnikoff
Annales de l'Institut Henri Poincaré, 2019, 55 (4), pp.1916-1947. ⟨10.1214/18-AIHP938⟩
Journal articles hal-02332850v2
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Pointwise adaptive estimation of the marginal density of a weakly dependent process

Karine Bertin , Nicolas Klutchnikoff
Journal of Statistical Planning and Inference, 2017, 187, pp.115-129. ⟨10.1016/j.jspi.2017.03.003⟩
Journal articles hal-01299483v1
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Minimax regression estimation for Poisson coprocess

Benoît Cadre , Nicolas Klutchnikoff , Gaspar Massiot
ESAIM: Probability and Statistics, 2017, 21, pp.138-158. ⟨10.1051/ps/2017004⟩
Journal articles hal-01430576v1

Illumination problems in digital images. A statistical point of view

Ségolen Geffray , Nicolas Klutchnikoff , Myriam Vimond
Journal of Multivariate Analysis, 2016, 150, pp.191-213. ⟨10.1016/j.jmva.2016.05.001⟩
Journal articles hal-01366815v1
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On clustering procedures and nonparametric mixture estimation

Stéphane Auray , Nicolas Klutchnikoff , Laurent Rouvière
Electronic Journal of Statistics , 2015, 9, pp.266-297. ⟨10.1214/15-EJS995⟩
Journal articles hal-01113848v1

Adaptative estimation of a density function using beta kernels

Karine Bertin , Nicolas Klutchnikoff
ESAIM: Probability and Statistics, 2014, ⟨10.1051/ps/2014010⟩
Journal articles hal-01284734v1

Pointwise adaptive estimation of a multivariate function

Nicolas Klutchnikoff
Mathematical Methods of Statistics, 2014, 23 (2), pp.132-150. ⟨10.3103/S1066530714020045⟩
Journal articles hal-03400258v1

Minimax pointwise estimation of an anisotropic regression function with unknown density of the design

A. Guillou , Nicolas Klutchnikoff
Mathematical Methods of Statistics, 2011, 20 (1), pp.30-57. ⟨10.3103/S1066530711010030⟩
Journal articles hal-03385776v1

Minimax properties of beta kernel estimators

Karine Bertin , Nicolas Klutchnikoff
Journal of Statistical Planning and Inference, 2011, 141 (7), pp.2287-2297. ⟨10.1016/j.jspi.2011.01.009⟩
Journal articles hal-03385755v1
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Sur l'estimation adaptative de fonctions anisotropes

Nicolas Klutchnikoff
Mathématiques [math]. Université de Provence - Aix-Marseille I, 2005. Français. ⟨NNT : ⟩
Theses tel-00011504v1