Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

1J. C. Duhalde.

Prévision d'un processus à valeurs fonctionnelles. Application à la consommation d'électricité, Paris Sud, Orsay, 2011.
2R. Genuer.

Forêts aléatoires : aspects théoriques, sélection de variables et applications, Paris Sud, Orsay, 2011.

Articles in International Peer-Reviewed Journal

3M. Aminghafari, J.-M. Poggi.

Multistep Forecasting Non-Stationary Time Series using Wavelets and Kernel Smoothing, in: Communications in Statistics, Theory and Methods, 2011, to appear.
4M. Aminghafari, J.-M. Poggi.

Multistep Forecasting Non-Stationary Time Series using Wavelets and Kernel Smoothing, in: Communications in Statistics Theory and Methods, 2012, vol. 41, p. 1–15.
5Y. Auffray, P. Barbillon, J.-M. Marin.

Maximin Design on non-hypercube domain and Kernel Interpolation, in: Statistics and Computing, 2011. [ DOI : 10.1007/s11222-011-9273-9 ]

http://hal.inria.fr/inria-00638728/en
6P. Barbillon, G. Celeux, A. Grimaud, Y. Lefebvre, E. De Rocquigny.

Non linear methods for inverse statistical problems, in: Computational Statistics and Data Analysis, 2011. [ DOI : 10.1016/j.csda.2010.05.030 ]

http://hal.inria.fr/inria-00441967/en
7J.-P. Baudry, C. Maugis, B. Michel.

Slope heuristics: overview and implementation, in: Statistics and Computing, 2011, vol. 22, p. 455-470.
8K. Bertin, E. Le Pennec, V. Rivoirard.

Adaptive Dantzig density estimation, in: Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques, 2011, vol. 47, n^o 1, p. 43-74. [ DOI : 10.1214/09-AIHP351 ]

http://hal.inria.fr/hal-00381984/en
9L. Bertrand, M.-A. Languille, S. Cohen, L. Robinet, C. Gervais, S. Leroy, D. Bernard, E. Le Pennec, W. Jossse, J. Doucet, S. Schöder.

European research platform IPANEMA at the SOLEIL synchrotron for ancient and historical materials, in: Journal of Synchrotron Radiation, 2011, vol. 18, n^o 5, p. 765-772. [ DOI : 10.1107/S090904951102334X ]

http://hal.inria.fr/hal-00618143/en
10M. Bobbia, F.-X. Jollois, J.-M. Poggi, B. Portier.

Quantifying local and background contributions to PM10 concentrations in Haute-Normandie, using random forests, in: Environmetrics, 2011, vol. 22, n^o 6, p. 758–768.
11S. Boucheron, P. Massart.

A high-dimensional Wilks phenomenon, in: Probability Theory and Related Fields, January 2011, vol. 150, p. 405-433.

http://dx.doi.org/10.1007/s00440-010-0278-7
12C. Bouveyron, G. Celeux, S. Girard.

Intrinsic Dimension Estimation by Maximum Likelihood in Isotropic Probabilistic PCA, in: Pattern Recognition Letters, 2011, vol. 32, p. 1706-1713. [ DOI : 10.1016/j.patrec.2011.07.017 ]

http://hal.inria.fr/hal-00440372/en
13G. Celeux, M.-L. Martin-Magniette, C. Maugis, R. Adrian.

Letter to the Editor, in: Journal of the American Statistical Association, 2011, vol. 106, p. 383-383.
14C. Dossal, E. Le Pennec, S. Mallat.

Bandlet Image Estimation with Model Selection, in: Signal Processing, January 2011, vol. 91, n^o 12, p. 2743-2753. [ DOI : 10.1016/j.sigpro.2011.01.013 ]

http://hal.inria.fr/hal-00321965/en
15M. Lavielle, A. Samson, A. Karina Fermin, F. Mentré.

Maximum likelihood estimation of long-term HIV dynamic models and antiviral response., in: Biometrics, March 2011, vol. 67, n^o 1, p. 250-9. [ DOI : 10.1111/j.1541-0420.2010.01422.x ]

http://hal.inria.fr/inserm-00486937/en
16P. Massart, C. Meynet.

An $ℓ_{1}$ -oracle inequality for the Lasso, in: Electronic Journal of Statistics, 2011, vol. 5, p. 669–687.

http://hal.inria.fr/inria-00506446/PDF/RR-7356.pdf
17C. Maugis, G. Celeux, M.-L. Martin-Magniette.

Variable selection in Model-based iscriminant Analysis, in: Journal of Multivariate Analysis, 2011, vol. 102, p. 1374-1387.
18F. Mhamdi, J.-M. Poggi, M. Jaidane.

Trend Extraction for Seasonal Time Series using Ensemble Empirical Mode Decomposition, in: Advances in Adaptive Data Analysis (AADA), 2011, vol. 3, n^o 3, p. 363–383.
19V. Michel, E. Eger, C. Keribin, B. Thirion.

Multiclass Sparse Bayesian Regression for fMRI-Based Prediction, in: International Journal of Biomedical Imaging, April 2011, vol. 2011, epub. [ DOI : 10.1155/2011/350838 ]

http://hal.inria.fr/inria-00609365/en
20V. Michel, A. Gramfort, G. Varoquaux, E. Eger, C. Keribin, B. Thirion.

A supervised clustering approach for fMRI-based inference of brain states, in: Pattern Recognition, April 2011, epub ahead of print. [ DOI : 10.1016/j.patcog.2011.04.006 ]

http://hal.inria.fr/inria-00589201/en
21V. Michel, A. Gramfort, G. Varoquaux, E. Eger, C. Keribin, B. Thirion.

A supervised clustering approach for fMRI-based inference of brain states, in: Pattern Recognition - Special Issue on Brain Decoding, 2011, epub ahead of print.
22A. Pasanisi, S. Fu, N. Bousquet.

Estimating discrete Markov models from various incomplete data schemes, in: Computational Statistics & Data Analysis, 2011, to appear.
23J.-M. Poggi, B. Portier.

PM10 forecasting using clusterwise regression, in: Atmospheric Environment, 2011, vol. 45, n^o 38, p. 7005–7014.
24A. Rau, F. Jaffrézic, J.-L. Foulley, R. Doerge.

Reverse Engineering Gene Networks Using Approximate Bayesian Computation (ABC, in: Statistics and Computing, 2011, to appear.

Articles in National Peer-Reviewed Journal

25Y. Auffray, P. Barbillon, J.-M. Marin.

Modèles réduits à partir d'expérience numériques, in: Journal de la Société Française de Statistique, 2011.

http://hal.inria.fr/inria-00638735/en
26C. Keribin.

Méthodes bayésiennes variationnelles : concepts et applications en neuroimagerie, in: Journal de la Sociéte Fran çaise de Statistiques, 2011, vol. 151, n^o 2, p. 107-131.

Invited Conferences

27A. Antoniadis, X. Brossat, J. Cugliari, J.-M. Poggi.

Functional Clustering using Wavelets, in: Invited conference at SIS 2011, 46th Scient. Meeting of the Italian Stat. Society, Bologna (Italy), 8-10 june 2011.
28A. Antoniadis, X. Brossat, J. Cugliari, J.-M. Poggi.

Functional Clustering using Wavelets, in: Invited conference at SIS 2011, 46th Scient. Meeting of the Italian Stat. Society, Bologna (Italy), 8-10 june 2011.
29G. Celeux.

Model -based cluster analysis for transcriptomic data, in: StaSeq2011, Toulouse, France, April 2011.
30G. Celeux.

Model Selection for the Latent Block Model, in: Working group on Model-Based Clustering, Glasgow, Scotland, July 2011.
31G. Celeux.

Recent Advances in Finite Mixture Models and Clustering, in: Joint Statistical Meeting, Miami, USA, August 2011.
32G. Celeux.

Statistical inference for the latent block model: a review, in: Symposium of the International Federation of Classification Societies, Frankfurt, Germany, August 2011.
33S. Fu, G. Celeux, M. Couplet, N. Bousquet.

A Bayesian solution to characterizing uncertainty in inverse problems, in: The 58th ISI Congress, Dublin, Ireland, August 2011.
34S. Fu, G. Celeux, M. Couplet, N. Bousquet.

A Bayesian solution to characterizing uncertainty in inverse problems, in: The 3rd IMS-China International conference on Statistics and Probability, Xi'an, China, July 2011.
35A. B. Hen, S. Gey, J.-M. Poggi.

Detecting Influent Observations using CART Classification Trees. Application to the classification of the cities of Paris area, in: ENBIS-11, Coimbra (Portugal), 4-8 september 2011.
36A. B. Hen, S. Gey, J.-M. Poggi.

Influence measures for CART Classification Trees, in: Workshop In honour of Anestis Antoniadis, Villard de Lans, 23-25 march 2011.

National Conferences with Proceeding

37S. Cohen, E. Le Pennec.

Segmentation non supervisée d'image hyperspectrale par mélange de gausiennes spatialisé, in: GRETSI 2011, Bordeaux, France, September 2011.

http://hal.inria.fr/inria-00638432/en

Conferences without Proceedings

38S. Fu, G. Celeux, M. Couplet, N. Bousquet.

A Bayesian solution to characterizing uncertainty in inverse problems, in: Journées des doctorants, GdR MASCOT-NUM, Villard de Lans, France, March 2011.

Scientific Books (or Scientific Book chapters)

39G. Celeux.

11, in: Bayesian Inference and Markov Chain Monte Carlo Methods, Wiley, 2011, p. 207-226.

Internal Reports

40S. Cohen, E. Le Pennec.

Conditional Density Estimation by Penalized Likelihood Model Selection and Applications, INRIA, April 2011, n^o RR-7596.

http://hal.inria.fr/inria-00575462/en
41E. Gautier, E. Le Pennec.

Adaptive estimation in the nonparametric random coefficients binary choice model by needlet thresholding, INRIA, June 2011, n^o RR-7647.

http://hal.inria.fr/inria-00601274/en
42R. Genuer, I. Morlais, W. Toussile.

Gametocytes infectiousness to mosquitoes: variable selection using random forests, and zero inflated models, INRIA, January 2011, n^o RR-7497.

http://hal.inria.fr/inria-00550980/en
43P. Massart, R. Raphael.

Around Nemirovski's inequality, Inria, 2011.
44A. Rau, G. Celeux, M.-L. Martin-Magniette, C. Maugis-Rabusseau.

Clustering high-throughput sequencing data with Poisson mixture models, INRIA, November 2011, n^o RR-7786.

http://hal.inria.fr/inria-00638082/en

Other Publications

45A. Antoniadis, X. Brossat, J. Cugliari, J.-M. Poggi.

Functional Clustering using Wavelets, 2011, Preprint HAL.
46Y. Auffray, P. Barbillon, J.-M. Marin.

Estimation of rare events probabilities in computer experiments, 2011, 20 pages, 6 figures.

http://hal.inria.fr/inria-00638696/en
47G. Celeux, M. E. Anbari, J.-M. Marin, C. P. Robert.

Regularization in regression: comparing Bayesian and frequentist methods in a poorly informative situation, 2011, To appear.

http://hal.archives-ouvertes.fr/hal-00523354/en/
48A. B. Hen, S. Gey, J.-M. Poggi.

Influence functions for CART, 2011, Preprint HAL.
49A. B. Hen, S. Gey, J.-M. Poggi.

Influence measures for CART Classification Trees, 2011, Preprint HAL.

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