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Publications and preprints

 

My publications in  Google Scholar,   Arxiv,    MathScinet

Publications

  1. Adaptive estimation with soft thresholding penalties (Jean-Michel Loubes and Sara van de Geer), Statist. Neerlandica, volume 56, pp. 454-479, 2002.
  2. Comments on Least angle reduction algorithm (J-M. Loubes and P. Massart), Annals of Statistics, volume 32, pp. 476-482, 2004.
  3. Wavelet estimation of a multifractal function (Fabrice Gamboa and Jean-Michel Loubes), Bernoulli, volume 11, pp. 221-246, 2005.
  4. On nonparametric maximum likelihood for a class of stochastic inverse problems (Djalil Chafai and Jean-Michel Loubes), Statist. Probab. Lett., volume 76, pp. 1225-1237, 2006.
  5. Road trafficking description and short term travel time forecasting, with a classification method (Jean-Michel Loubes, Elie Maza, Marc Lavielle and Luis Rodriguez), Canad. J. Statist., volume 34, pp. 475-491, 2006.
  6. Bayesian methods for a particular inverse problem : seismic tomography (Ana K. Fermn, Jean-Michel Loubes and Carenne Ludena), Int. J. Tomogr. Stat., volume 4, pp. 1-19, 2006.
  7. Beating the Paris snarls-up (J-M. Loubes and E. Maza), Scientific Computing World, pp. 34-41, August 2006.
  8. Estimation of parameters of a multifractal process (Fabrice Gamboa and Jean-Michel Loubes), TEST, volume 16, pp. 383-407, 2007.
  9. Semi-parametric estimation of shifts (Fabrice Gamboa, Jean-Michel Loubes and Elie Maza), Electron. J. Stat., volume 1, pp. 616-640, 2007.
  10. Hurst exponent estimation of fractional Lévy motion (Céline Lacaux, Jean-Michel Loubes), ALEA Lat. Am. J. Probab. Math. Stat., volume 3, pp. 143-164, 2007.
  11. A kernel-based classifier on a Riemannian manifold (Jean-Michel Loubes and Bruno Pelletier), Statist. Decisions, volume 26, pp. 35-51, 2008.
  12. l1 penalty for ill-posed inverse problems (Jean-Michel Loubes), Comm. Statist. Theory Methods, volume 37, pp. 1399-1411, 2008.
  13. Adaptive complexity regularization for linear inverse problems (Jean-Michel Loubes and Carenne Ludena), Electron. J. Stat., volume 2, pp. 661-677, 2008.
  14. Maximum entropy solution to ill-posed inverse problems with approximately known operator (Jean-Michel Loubes and Bruno Pelletier), J. Math. Anal. Appl., volume 344, pp. 260-273, 2008.
  15. 3D Tooth Modeling for Orthodontic Assessment (J. Treil, J. Braga, J-M. Loubes, E. Maza, J-M. Inglese, J. Casteigt and B. Waysenson), Seminars in Orthodontics, volume 15, pp. 42-47, 2009.
  16. Penalized maximum likelihood estimation with l1 penalty (J.-M. Loubes and Y. Yan), Int. J. Appl. Math. Stat., volume 14, pp. 35-46, 2009.
  17. Statistical M-estimation and consistency in large deformable models for image warping (Jérémie Bigot , Sébastien Gadat and Jean-Michel Loubes), J. Math. Imaging Vision, volume 34, pp. 270-290, 2009.
  18. Estimation of the distribution of random shifts deformation (I. Castillo and J-M. Loubes), Math. Methods Statist., volume 18, pp. 21-42, 2009.
  19. Review of rates of convergence and regularity conditions for inverse problems (J-M. Loubes and V. Rivoirard), Int. J. Tomogr. Stat., volume 11, pp. 61-82, 2009.
  20. Penalized estimators for non linear inverse problems (Jean-Michel Loubes and Carenne Ludena), ESAIM Probab. Stat., volume 14, pp. 173-191, 2010.
  21. Nonparametric estimation of covariance functions by model selection (Jérémie Bigot, Rolando Biscay, Jean-Michel Loubes and Lilian Muniz-Alvarez), Electron. J. Stat., volume 4, pp. 822-855, 2010.
  22. Maxisets for model selection (F. Autin, E. Le Pennec, J.M. Loubes and V. Rivoirard), Constr. Approx., volume 31, pp. 195-229, 2010.
  23. Estimation error for blind Gaussian time series prediction (T. Espinasse, F. Gamboa and J-M. Loubes), Math. Methods Statist., volume 20, pp. 206-223, 2011.
  24. Group lasso estimation of high-dimensional covariance matrices (Jérémie Bigot, Rolando J. Biscay, Jean-Michel Loubes and Lilian Muiz-Alvarez), J. Mach. Learn. Res., volume 12, pp. 3187-3225, 2011.
  25. Local asymptotic normality property for lacunar wavelet series multifractal model (Jean-Michel Loubes and Davy Paindaveine), ESAIM Probab. Stat., volume 15, pp. 69-82, 2011.
  26. Testing inverse problems: a direct or an indirect problem? (B. Laurent, J-M. Loubes and C. Marteau), J. Statist. Plann. Inference, volume 141, pp. 1849-1861, 2011.
  27. Non parametric estimation of the structural expectation of a stochastic increasing function (J-F. Dupuy, J-M. Loubes and E. Maza), Stat. Comput., volume 21, pp. 121-136, 2011.
  28. Maximum entropy estimation for survey sampling (Fabrice Gamboa, Jean-Michel Loubes and Paul Rochet), J. Statist. Plann. Inference, volume 141, pp. 305-317, 2011.
  29. Paths towards adaptive estimation for Instrumental Variable Regression (Jean-Michel Loubes and Clément Marteau), Publ. Mat. Urug., volume 12, pp. 99-123, 2011.
  30. Adaptive covariance estimation with model selection (R. Biscay, H. Lescornel and J-M. Loubes), Math. Methods Statist., volume 21, pp. 283-297, 2012.
  31. Adaptive estimation for an inverse regression model with unknown operator (Clement Marteau and Jean-Michel Loubes), Statistics & Risk Modeling, volume 29, pp. 215-242, 2012.
  32. Approximate maximum entropy on the mean for instrumental variable regression (Jean-Michel Loubes and Paul Rochet), Statist. Probab. Lett., volume 82, pp. 972-978, 2012.
  33. Semiparametric estimation of shifts on compact Lie groups for image registration (Jérémie Bigot, Jean-Michel Loubes and Myriam Vimond), Probab. Theory Related Fields, volume 152, pp. 425-473, 2012.
  34. Non asymptotic minimax rates of testing in signal detection with heterogeneous variances (Béatrice Laurent, Jean-Michel Loubes and Clément Marteau), Electron. J. Stat., volume 6, pp. 91-122, 2012.
  35. LAN property for some fractional type Brownian motion (Serge Cohen, Fabrice Gamboa, Céline Lacaux and Jean-Michel Loubes), ALEA Lat. Am. J. Probab. Math. Stat., volume 10, pp. 91–106, 2013
  36. Statistical Properties of the Quantile Normalization Method for Density Curve Alignment (Santiago Gallón, Jean-Michel Loube and Elie Maza), Math. Biosci. 242 (2013), no. 2, 129–142
  37. Kernel Inverse Regression for random fields (J-M. Loubes and A-F. Yao), Int. J. Appl. Math. Stat., volume 32, pp. 1-26, 2013.
  38. Unbiased risk estimation method for covariance estimation (H. Lescornel and J-M. Loubes) Accepté à Esaim & PS, 2013.
  39.  Goodness-of-fit testing strategies from indirect observationsJ-M. Loubes and C. Marteau, Accepté à Journal of Non Parametric Statistics 2013
  40. Gaussian stationary processes over graphs, general frame and maximum likelihood identification (Espinasse T., Gamboa F. and Loubes J-M.) accepté à Prob. Theo. and Relat. Fiels, 2013
  41. A new partial temporal bone of a juvenile hominin from the site of Kromdraai B (South Africa), (Braga, Descouens, Dumoncel, Pereda-Loth, Loubes, Kahn, Prados-Frutos, J-C. Treil,Thackeray) Journal of Human Evolution, 2013
  42. A robust algorithm for template curve estimation based on manifold embedding. Dimeglio, C., S. Gallón, J-M. Loubes, and E. Maza Comput. Statist. Data Anal. 70 (2014), 373–386
  43. Estimation of covariance functions by a fully data-driven model selection procedure and its application to Kriging spatial interpolation of real rain- fall data. R. Biscay, D. Ginebra, J-M. Loubes and L. Muniz; Accepted in Statistical Methods and Applications (2013)
  44. Distribution’s template estimation with Wasserstein metrics, E. Boissard, T. Le Gouic, J-M. Loubes Accepted Bernoulli (2014).
  45. Group Lasso for generalized linear models. M. Blazère, J-M. Loubes and F. Gamboa; Accepted à IEEE Transactions in Information Theory (2014)
  46. A Robbins Monro procedure for the estimation of parametric deformations on random variables. P. Fraysse, H. Lescornel and J-M. Loubes, accepted to Statistica Sinica (2014)
  47. Functional calibration estimation by the maximum entropy on the mean principle. S. Gallon, F. Gamboa and J-M. Loubes, 2014 Statistics

Notes au CRAS, Actes avec comité de lecture et chapitres de livres

  1. Saturation spaces in inverse problems in econometrics, J-M. Loubes et A.Vanhems, Proceedings of the American Econometric Society, 1112-1129, 2003.
  2. Stochastic methods for time travel forecasting, F. Gamboa, J-M. Loubes et E. Maza, ENBIS Magazine special edition Riminy conference, 1, 1024–1030, 2003.
  3. Model selection estimators for linear inverse problems, J-M. Loubes et C. Ludeña, Proceedings of Oberwolfach Oberwolfach Workshop Statistische und Probabilistische Methoden der Modellwahl, 47, 59–64, 2006.
  4. l1 sparsity and applications in estimation (Jean-Michel Loubes), C. R. Math. Acad. Sci. Paris, volume 344, pp. 399-402, 2007.
  5. Approximate Maximum Entropy Maximizer (AMEM) with L2 error J-M. Loubes and P. Rochet, Book Elsevier: Review on Image statistical analysis, 2009.

Submitted papers – disponibles sur HAL et ArXiV

  1. Adaptive estimation of covariance functions via wavelet thresholding and information projection, J. Bigot, R. Biscay, J-M. Loubes and L. Muniz, révision Esaim & PS
  2. Estimation of deformations between distributions by minimal Wasserstein distance. H. Lescornel & J-M. Loubes hal-00749519 soumis à Annals of Stat. (2012)
  3. Modeling Weather Conditions Consequences on Road Trafficking Behaviors. Allain G., Gamboa F., Goudal P., Kien J.-N., Loubes J-M. soumis à Canad. Journal of Stat., 14, 2013.
  4. Efficient estimation of conditional covariance matrices for dimension reduction. Loubes J-M., Marteau C., Solis M., Da Veiga S. soumis à Statistica Neerlandica (2013)
  5. A Kriging Procedure for Processes indexed by Graphs. T. Espinasse and J-M. Loubes. Stochastic Process and Applications soumis 2013.
 
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