Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
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Publications of the year

Doctoral Dissertations and Habilitation Theses

C. Karmann.
Network inference for zero-inflated models, Université de Lorraine (Nancy), November 2019.

Articles in International Peer-Reviewed Journals

J.-B. Barbry, A.-S. Poinsard, T. Bastogne, O. Balland.
Short-term effects of ocular 2% dorzolamide, 0.5% timolol or 0.005% latanoprost on the anterior segment architecture in healthy cats: a prospective study, in: Open Veterinary Journal, 2020, forthcoming.
M. Ben Abdallah, M. Blonski, S. Wantz-Mézières, Y. Gaudeau, L. Taillandier, J.-M. Moureaux, A. Darlix, N. Menjot De Champfleur, H. Duffau.
Data-driven predictive models of diffuse low-grade gliomas under chemotherapy, in: IEEE Journal of Biomedical and Health Informatics, January 2019, vol. 23, no 1, pp. 38-46. [ DOI : 10.1109/JBHI.2018.2834159 ]
A. Gégout-Petit, L. Guérin-Dubrana, S. Li.
A new centered spatio-temporal autologisticregression model with an application to local spread of plant diseases, in: Spatial Statistics, May 2019, no 31,
A. Lejay, L. Lenôtre, G. Pichot.
An exponential timestepping algorithm for diffusion with discontinuous coefficients, in: Journal of Computational Physics, November 2019, vol. 396, pp. 888-904. [ DOI : 10.1016/ ]
F. Rech, G. Herbet, Y. Gaudeau, S. Wantz-Mézières, J.-M. Moureaux, S. Moritz-Gasser, H. Duffau.
A probabilistic map of negative motor areas of the upper limb and face: a brain stimulation study, in: Brain - A Journal of Neurology , April 2019, vol. 142, no 4, pp. 952-965. [ DOI : 10.1093/brain/awz021 ]
A. Taccoen, C. C. Piedallu, I. Seynave, V. V. Perez, A. Gégout-Petit, L.-M. Nageleisen, J.-D. Bontemps, J.-C. Gégout.
Background mortality drivers of European tree species: climate change matters, in: Proceedings of the Royal Society B: Biological Sciences, April 2019, vol. 286, no 1900, 20190386 p. [ DOI : 10.1098/rspb.2019.0386 ]
S. Toupance, D. Villemonais, D. Germain, A. Gégout-Petit, E. Albuisson, A. Benetos.
The individual’s signature of telomere length distribution, in: Scientific Reports, January 2019, vol. 9, no 1, 8 p. [ DOI : 10.1038/s41598-018-36756-8 ]

International Conferences with Proceedings

Best Paper
Y. Efroni, G. Dalal, B. Scherrer, S. Mannor.
How to Combine Tree-Search Methods in Reinforcement Learning, in: AAAI 19 - Thirty-Third AAAI Conference on Artificial Intelligence, Honolulu, Hawai, United States, January 2019, - AAAI 2019.
M. Geist, B. Scherrer, O. Pietquin.
A Theory of Regularized Markov Decision Processes, in: ICML 2019 - Thirty-sixth International Conference on Machine Learning, Long Island, United States, June 2019, - ICML 2019.
N. Sahki, A. Gégout-Petit, S. Wantz-Mézières.
Détection Statistique de Rupture dans le Cadre Online, in: JdS 2019 - 51èmes Journées de Statistique, Nancy, France, June 2019.

Conferences without Proceedings

B. Bastien, A. Gégout-Petit, A. Muller-Gueudin.
Aggregation of statistical methods for the selection of correlated and high dimensional variables, in: Séminaire AgroParisTech, Paris, France, May 2019.
J. Deleforterie, Y. Kolasa, L. Batista, J. Hutin, T. Bastogne.
Quality-by-Design for the safe development of medical devices containing nanomaterials. A study case in photodynamic therapy, in: NanoMed Europe, NME 2019, Braga, Portugal, June 2019, Présentation Poster.
F. Greciet, R. Azaïs, A. Gégout-Petit.
Régression polynomiale par morceaux sous contrainte de régularité pour la propagation de fissures, in: JdS 2019 - 51èmes Journées de Statistique, Nancy, France, June 2019, pp. 1-5.
A. Gégout-Petit, A. Gueudin, C. Karmann.
Network inference for truncated gaussian data, in: European Meeting of Statisticians, Palermo, Italy, July 2019.
C. Karmann, A. Gégout-Petit, A. Muller-Gueudin.
Inférence de réseaux pour des données gaussiennes inflatées en zéros par double troncature, in: Journées de statistique 2019, Nancy, France, June 2019.
C. Karmann, A. Gégout-Petit, A. Muller-Gueudin.
Méthode des knockoffs revisités pour la sélection de variables. Application à l'inférence de réseaux pour modèles inflatés en zéro, in: Journées NETBIO Saclay, Saclay, France, October 2019.
C. Karmann, A. Gégout-Petit, A. Muller-Gueudin.
Penalized ordinal logistic regression using cumulative logits, in: Journée scientifique FCH : "Méthodes et modèles pour comprendre les réseaux biologiques", Nancy, France, 2019.
B. Lalloué, J.-M. Monnez, E. Albuisson.
Actualisation en ligne d'un score d'ensemble, in: 51e Journées de Statistique, Nancy, France, Société Française de Statistique, June 2019.
B. Lalloué, J.-M. Monnez, E. Albuisson.
Streaming constrained binary logistic regression with online standardized data, in: SFC 2019 - 26émes Rencontres de la Société Francophone de Classification, Nancy, France, September 2019.
J.-M. Monnez.
Convergence du processus de Oja et ACP en ligne, in: 51èmes Journées de Statistique, Nancy, 2019, NANCY, France, Efoevi Koudou, June 2019.
A. Muller-Gueudin, A. Debussche, A. Crudu.
Modeling of gene regulation networks by deterministic processes by pieces, in: Journée de la Fédération Charles Hermite, Vandoeuvre-les-Nancy, France, June 2019, pp. 1-37.
A. Muller-Gueudin, A. Gégout-Petit.
Aggregation of statistical methods for the selection of correlated variables, in large dimension, in: JdS 2019 - 51emes Journées de Statistique de la SFDS, Vandoeuvre-les-Nancy, France, June 2019.
R. Postoyan, M. Granzotto, L. Buşoniu, B. Scherrer, D. Nešić, J. Daafouz.
Stability guarantees for nonlinear discrete-time systems controlled by approximate value iteration, in: 58th IEEE Conference on Decision and Control, CDC 2019, Nice, France, December 2019, Version longue de l'article du même titre et des mêmes auteurs des proceedings de l'IEEE Conference on Decision on Control 2019, Nice, France.
V. Roulette, G. Delplanque, J. Deleforterie, T. Bastogne.
A contribution in nanoinformatics to facilitate the collection of structured data for Quality-by-Design in nanomedicine, in: NanoMed Europe, NME 2019, Braga, Portugal, June 2019.
N. Sahki, A. Gégout-Petit, S. Wantz-Mézières.
New Detection Thresholds and Stop Rules for CUSUM Online Detection, in: ENBIS 2019 - 19th Annual Conference of the European Network for Business and Industrial Statistics, Budapest, Hungary, September 2019.

Other Publications

B. Bastien, T. Boukhobza, H. Dumond, A. Gégout-Petit, A. Muller-Gueudin, C. Thiébaut.
A statistical methodology to select covariates in high-dimensional data under dependence. Application to the classification of genetic profiles in oncology, September 2019, - working paper or preprint.
S. Ferrigno, M. Maumy-Bertrand.
Estimation of reference curves for fetal weight, December 2019, CMStatistics 2019, Poster.
A. Gégout-Petit, A. Muller-Gueudin, C. Karmann.
Graph estimation for Gaussian data zero-inflated by double truncation, November 2019, working paper or preprint.
A. Gégout-Petit, A. Muller-Gueudin, C. Karmann.
The revisited knockoffs method for variable selection in L1-penalised regressions, November 2019, working paper or preprint.
B. Lalloué, J.-M. Monnez, E. Albuisson.
Streaming constrained binary logistic regression with online standardized data. Application to scoring heart failure, June 2019, working paper or preprint.
J.-M. Monnez, A. Skiredj.
Convergence of a normed eigenvector stochastic approximation process and application to online principal component analysis of a data stream, May 2019, working paper or preprint.
A. Muller-Gueudin, A. Gégout-Petit.
Package 'armada' : A Statistical Methodology to Select Covariates in High-Dimensional Data under Dependence, April 2019, An R package, available on the CRAN. A Statistical Methodology to Select Covariates in High-Dimensional Data under Dependence.
N. Sahki, A. Gégout-Petit, S. Wantz-Mézières.
Change-point detection method for the prediction of dreaded events during online monitoring of lung transplant patients, December 2019, Annual PhD students conference IAEM Lorraine, APIL 2019, Poster.
N. Sahki, A. Gégout-Petit, S. Wantz-Mézières.
Performance Study of Detection Thresholds for CUSUM statistic in a Sequential Context, December 2019, working paper or preprint.
References in notes
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A recursive nonparametric estimator for the transition kernel of a piecewise-deterministic Markov process, in: ESAIM: Probability and Statistics, 2014, vol. 18, pp. 726–749.
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Nonparametric estimation of the jump rate for non-homogeneous marked renewal processes, in: Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, Institut Henri Poincaré, 2013, vol. 49, no 4, pp. 1204–1231.
R. Azaïs, F. Dufour, A. Gégout-Petit.
Non-Parametric Estimation of the Conditional Distribution of the Interjumping Times for Piecewise-Deterministic Markov Processes, in: Scandinavian Journal of Statistics, December 2014, vol. 41, no 4, pp. 950–969. [ DOI : 10.1111/sjos.12076 ]
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Uniform law of the logarithm for the local linear estimator of the conditional distribution function, in: C. R. Math. Acad. Sci. Paris, 2010, vol. 348, no 17-18, pp. 1015–1019.
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Sparse inverse covariance estimation with the graphical lasso, in: Biostatistics, 2008, vol. 9, no 3, pp. 432–441.
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Lower Bounds for Howard's Algorithm for Finding Minimum Mean-Cost Cycles, in: ISAAC (1), 2010, pp. 415-426.
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From persistent random walk to the telegraph noise, in: Stoch. Dyn., 2010, vol. 10, no 2, pp. 161–196.
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Modeling subtilin production in bacillus subtilis using stochastic hybrid systems, in: Hybrid Systems: Computation and Control, Springer, 2004, pp. 417–431.
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Multinomial model-based formulations of TCP and NTCP for radiotherapy treatment planning, in: Journal of Theoretical Biology, June 2011, vol. 279, no 1, pp. 55-62. [ DOI : 10.1016/j.jtbi.2011.03.025 ]
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Statistical inference for ergodic diffusion processes, Springer Series in Statistics, Springer-Verlag London Ltd., London, 2004, xiv+481 p.
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Real Harmonizable Multifractional Lévy Motions, in: Ann. Inst. Poincaré., 2004, vol. 40, no 3, pp. 259–277.
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On the Benzecri's method for computing eigenvectors by stochastic approximation (the case of binary data), in: Compstat 1974 (Proc. Sympos. Computational Statist., Univ. Vienna, Vienna, 1974), Vienna, Physica Verlag, 1974, pp. 202–211.
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Non-Stationary Approximate Modified Policy Iteration, in: ICML 2015, Lille, France, July 2015.
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Stochastic calculus with respect to continuous finite quadratic variation processes, in: Stochastics: An International Journal of Probability and Stochastic Processes, 2000, vol. 70, no 1-2, pp. 1–40.
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