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On A Deconvolution Problem Under Competing Risks

 Christophe Chesneau , Isha Dewan , Hassan Doosti
2015
Pré-publication, Document de travail hal-01150077v2
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Some sharp circular and hyperbolic bounds of exp(-x^2) with applications

 Yogesh J. Bagul , Christophe Chesneau
2020
Pré-publication, Document de travail hal-01915086v4
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A maxiset approach of a Gaussian white noise model

 Christophe Chesneau
2004
Pré-publication, Document de travail hal-00002970v1
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A note on the adaptive estimation of the differential entropy by wavelet methods

 Christophe Chesneau , Fabien Navarro , Oana Silvia Serea
Commentationes Mathematicae Universitatis Carolinae, 2017, 58 (1), ⟨10.14712/1213-7243.2015.191⟩
Article dans une revue hal-01141420v3
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Sampling from non-smooth distribution through Langevin diffusion

 Duy Tung Luu , Jalal M. Fadili , Christophe Chesneau
2017
Pré-publication, Document de travail hal-01492056v3
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ON A MODIFIED BURR XII DISTRIBUTION HAVING FLEXIBLE HAZARD RATE SHAPES

 Farrukh Jamal , Christophe Chesneau , M A Nasir , Abdus Saboor , Emrah Altun , et al.
2019
Pré-publication, Document de travail hal-01902852v2
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Agrégation à poids exponentiels et estimation penalisée : Algorithmes d’échantillonnage

 Duy Tung Luu , Jalal M. Fadili , Christophe Chesneau
26th GRETSI Symposium on Signal and Image Processing, Sep 2017, Juan Les Pins, France
Communication dans un congrès hal-01658857v1
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Nonparametric estimation in a regression model with additive and multiplicative noise

 Christophe Chesneau , Salima El Kolei , Junke Kou , Fabien Navarro
Journal of Computational and Applied Mathematics, 2020, 380, pp.112971. ⟨10.1016/j.cam.2020.112971⟩
Article dans une revue hal-02159579v2
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Learning charme models with neural networks

 José G. Gómez García , Jalal Fadili , Christophe Chesneau
2020
Pré-publication, Document de travail hal-02470605v2
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Some theoretical results on the grouped variables Lasso

 Christophe Chesneau , Mohamed Hebiri
2008
Pré-publication, Document de travail hal-00145160v3
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Linear wavelet estimation of the derivatives of a regression function based on biased data

 Yogendra P. Chaubey , Christophe Chesneau , Fabien Navarro
Communications in Statistics - Theory and Methods, 2017, 46 (19), ⟨10.1080/03610926.2016.1213287⟩
Article dans une revue hal-01075544v1
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Wavelet density estimators for the deconvolution of a component from a mixture

 Christophe Chesneau
2010
Pré-publication, Document de travail hal-00487347v2
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Adaptive wavelet deconvolution for strongly mixing sequences

 Christophe Chesneau
2011
Pré-publication, Document de travail hal-00569957v1
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On the bivariate Skellam distribution

 Jan Bulla , Christophe Chesneau , Maher Kachour
2013
Pré-publication, Document de travail hal-00744355v2
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A note on wavelet regression with uniform random design and heteroscedastic errors

 Christophe Chesneau
2010
Pré-publication, Document de travail hal-00449970v2
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Super-optimal rate of convergence in non-parametric estimation for functional valued processes

 Christophe Chesneau , Bertrand Maillot
2013
Pré-publication, Document de travail hal-00850123v1
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ON ADAPTIVE WAVELET ESTIMATION OF A QUADRATIC FUNCTIONAL FROM A DECONVOLUTION PROBLEM

 Christophe Chesneau
2008
Pré-publication, Document de travail hal-00174239v4
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A parametric study for the first-order signed integer-valued autoregressive process

 Christophe Chesneau , Maher Kachour
Journal of Statistical Theory and Practice, 2012, 6 (4), pp.760--782
Article dans une revue hal-00643089v1
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Stein block thresholding for wavelet-based image deconvolution

 Christophe Chesneau , Jalal M. Fadili , Jean-Luc Starck
Electronic Journal of Statistics , 2010, 4, pp.415-435. ⟨10.1214/09-EJS550⟩
Article dans une revue hal-00436661v2
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Adapting to Unknown Smoothness by Aggregation of Thresholded Wavelet Estimators.

 Christophe Chesneau , Guillaume Lecué
2006
Pré-publication, Document de travail hal-00121088v1
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On the adaptive wavelet estimation of a multidimensional regression function under $\alpha$-mixing dependence: Beyond the boundedness assumption on the noise

 Christophe Chesneau
2013
Pré-publication, Document de travail hal-00727150v3
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Wavelet estimation of the derivatives of an unknown function from a convolution model

 Christophe Chesneau
2009
Pré-publication, Document de travail hal-00399604v1
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A Note on Some New Bounds for Trigonometric Functions Using Infinite Products

 Christophe Chesneau , Yogesh J. Bagul
2018
Pré-publication, Document de travail hal-01934571v2
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The Modified Beta Gompertz Distribution: Theory and Applications

 Ibrahim M Elbatal , Farrukh Jamal , Christophe Chesneau , Mohammed Elgarhy , Sharifah Alrajhi
2018
Pré-publication, Document de travail hal-01912274v4
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Ajustement d'un nuage de points

 Christophe Chesneau
Licence. France. 2017
Cours cel-01387713v3
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The odd generalized gamma-G family of distributions: Properties, regressions and applications

 Arslan Nasir , Farrukh Jamal , Christophe Chesneau
2019
Pré-publication, Document de travail hal-01916828v4
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Nonparametric estimation of a quantile density function by wavelet methods

 Christophe Chesneau , Isha Dewan , Hassan Doosti
2015
Pré-publication, Document de travail hal-01153638v3
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Some new facts about the unit-Rayleigh distribution with applications

 Christophe Chesneau , Farrukh Jamal
2020
Pré-publication, Document de travail hal-02902340v1
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Topp-Leone Weibull-Lomax distribution: Properties, Regression Model and Applications

 Farrukh Jamal , Hesham Mohammed Reyad , M Arslan Nasir , Christophe Chesneau , M Akbar Ali Shah , et al.
2019
Pré-publication, Document de travail hal-02270561v1
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A New Sine-G Family of Distributions: Properties and Applications

 Zafar Mahmood , Christophe Chesneau , Muhammad Hussain Tahir
Bull. Comput. Appl. Math. , 2019, 7 (1), pp.53-81
Article dans une revue hal-03580871v1
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