Bibliography

Publications of the year

Articles in International Peer-Reviewed Journals

• 1J. Anselmi, F. Dufour, T. Prieto-Rumeau.
  Computable approximations for continuous-time Markov decision processes on Borel spaces based on empirical measures, in: Journal of Mathematical Analysis and Applications, 2016, vol. 443, n^o 2, pp. 1323 - 1361. [ DOI : 10.1016/j.jmaa.2016.05.055 ]
  https://hal.archives-ouvertes.fr/hal-01412615
• 2J. Anselmi, N. S. Walton.
  Decentralized Proportional Load Balancing, in: SIAM Journal on Applied Mathematics, 2016, vol. 76, n^o 1, pp. 391-410. [ DOI : 10.1137/140969361 ]
  https://hal.archives-ouvertes.fr/hal-01415856
• 3O. Costa, F. Dufour, A. B. Piunovskiy.
  Constrained and Unconstrained Optimal Discounted Control of Piecewise Deterministic Markov Processes, in: SIAM Journal on Control and Optimization, 2016, vol. 54, n^o 3, pp. 1444 - 1474. [ DOI : 10.1137/140996380 ]
  https://hal.archives-ouvertes.fr/hal-01412604
• 4B. De Saporta, E. Costa.
  Approximate Kalman-Bucy filter for continuous-time semi-Markov jump linear systems, in: IEEE Transactions on Automatic Control, 2016, vol. 61, n^o 8, pp. 2035 - 2048. [ DOI : 10.1109/TAC.2015.2495578 ]
  https://hal.archives-ouvertes.fr/hal-01062618
• 5B. De Saporta, F. Dufour, A. Geeraert.
  Optimal strategies for impulse control of piecewise deterministic Markov processes, in: Automatica, 2017. [ DOI : 10.1016/j.automatica.2016.11.039 ]
  https://hal.archives-ouvertes.fr/hal-01294286
• 6B. De Saporta, F. Dufour, C. Nivot.
  Partially observed optimal stopping problem for discrete-time Markov processes, in: 4OR: A Quarterly Journal of Operations Research, 2017. [ DOI : 10.1007/s10288-016-0337-8 ]
  https://hal.archives-ouvertes.fr/hal-01274645
• 7P. Del Moral, R. Kohn, F. Patras.
  On particle Gibbs samplers, in: Annales de l'IHP - Probabilités et Statistiques, 2016.
  https://hal.archives-ouvertes.fr/hal-01312953
• 8B. Delyon, B. De Saporta, N. Krell, L. Robert.
  Investigation of asymmetry in E. coli growth rate, in: CSBIGS (Case Studies in Business, Industry and Government Statistics, 2016, forthcoming.
  https://hal.inria.fr/hal-01201923
• 9F. Dufour, A. B. Piunovskiy.
  Impulsive Control for Continuous-Time Markov Decision Processes: A Linear Programming Approach, in: Applied Mathematics and Optimization, 2016, vol. 74, n^o 1, pp. 129 - 161. [ DOI : 10.1007/s00245-015-9310-8 ]
  https://hal.archives-ouvertes.fr/hal-01246229
• 10F. Dufour, T. Prieto-Rumeau.
  Conditions for the Solvability of the Linear Programming Formulation for Constrained Discounted Markov Decision Processes, in: Applied Mathematics and Optimization, 2016, vol. 74, n^o 1, pp. 27 - 51. [ DOI : 10.1007/s00245-015-9307-3 ]
  https://hal.archives-ouvertes.fr/hal-01246228
• 11M. Ellies-Oury, G. Cantalapiedra-Hijar, D. Durand, D. Gruffat, A. Listrat, D. Micol, I. Ortigues-Marty, J. Hocquette, M. Chavent, J. Saracco, B. Picard.
  An innovative approach combining Animal Performances, nutritional value and sensory quality of meat, in: Meat Science, 2016, vol. 122, pp. 163 - 172. [ DOI : 10.1016/j.meatsci.2016.08.004 ]
  https://hal.archives-ouvertes.fr/hal-01417538
• 12A. Genadot.
  Spatio-temporal averaging for a class of hybrid systems and application to conductance-based neuron models, in: Nonlinear Analysis: Hybrid Systems, November 2016, vol. 22, pp. 176-190. [ DOI : 10.1016/j.nahs.2016.03.003 ]
  https://hal.archives-ouvertes.fr/hal-01414107
• 13B. Liquet, J. Saracco.
  BIG-SIR: a Sliced Inverse Regression approach for massive data, in: Statistics and its interfaces, 2016, vol. 9, n^o 4, pp. 509-520.
  https://hal.archives-ouvertes.fr/hal-01417425
• 14Y. Martinez, E. Naredo, L. Trujillo, P. Legrand, U. Lopez.
  A comparison of fitness-case sampling methods for genetic programming, in: Journal of Experimental and Theoretical Artificial Intelligence, 2017.
  https://hal.inria.fr/hal-01389047
• 15Y. Martinez, L. Trujillo, P. Legrand, E. Galvan-Lopez.
  Prediction of Expected Performance for a Genetic Programming Classifier, in: Genetic Programming and Evolvable Machines, 2016, vol. 17, n^o 4, pp. 409–449. [ DOI : 10.1007/s10710-016-9265-9 ]
  https://hal.inria.fr/hal-01252141
• 16E. Naredo, L. Trujillo, P. Legrand, S. Silva, L. Munoz.
  Evolving Genetic Programming Classifiers with Novelty Search, in: Information Sciences, November 2016, vol. 369, pp. 347–367. [ DOI : 10.1016/j.ins.2016.06.044 ]
  https://hal.inria.fr/hal-01389049
• 17E. Z-Flores, L. Trujillo, A. Sotelo, P. Legrand, L. Coria.
  Regularity and Matching Pursuit Feature Extraction for the Detection of Epileptic Seizures, in: Journal of Neuroscience Methods, 2016.
  https://hal.inria.fr/hal-01389051

Invited Conferences

• 18M. Chavent.
  Multivariate analysis of mixed data: The PCAmixdata R package, in: 9th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016), Seville, Spain, December 2016.
  https://hal.archives-ouvertes.fr/hal-01416742
• 19A. Geeraert, B. De Saporta, F. Dufour.
  Impulse control of piecewise deterministic processes, in: 28th European Conference on Operational Research, Poznan, Poland, 2016.
  https://hal.archives-ouvertes.fr/hal-01336314
• 20J. Saracco, I. Jlassi.
  Variable importance assessment in sliced inverse regression for variable selection, in: 9th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016), Séville, Spain, December 2016.
  https://hal.archives-ouvertes.fr/hal-01417436

International Conferences with Proceedings

• 21E. Costa, B. De Saporta.
  Precomputable Kalman-based filter for Markov Jump Linear Systems, in: 3rd International Conference on Control and Fault-Tolerant Systems, Barcelone, Spain, 2016, pp. 387-392.
  https://hal.archives-ouvertes.fr/hal-01336597
• 22J. E. Hernandez-Beltran, V. H. Díaz-Ramírez, L. Trujillo, P. Legrand.
  Restoration of degraded images using genetic programming, in: Optics and photonics for information processing X, San Diego, United States, August 2016, vol. 9970.
  https://hal.inria.fr/hal-01389064
• 23V. R. López-López, L. Trujillo, P. Legrand, G. Olague.
  Genetic Programming: From design to improved implementation, in: Gecco 2016, Denver, United States, June 2016.
  https://hal.inria.fr/hal-01389066

Conferences without Proceedings

• 24V. Sautron, M. Chavent, N. Viguerie, N. Villa-Vialaneix.
  Multiway-SIR for longitudinal multi-table data integration, in: 22nd International Conference on Computational Statistics (COMPSTAT), Oviedo, Spain, August 2016.
  https://hal.archives-ouvertes.fr/hal-01416735

Scientific Books (or Scientific Book chapters)

• 25S. Girard, J. Saracco.
  Supervised and unsupervised classification using mixture models, in: Statistics for Astrophysics: Clustering and Classification, D. Fraix-Burnet, S. Girard (editors), EAS Publications Series, EDP Sciences, May 2016, vol. 77, pp. 69-90.
  https://hal.archives-ouvertes.fr/hal-01417514
• 26T. Leonardo, E. Z-Flores, P. S. Juarez Smith, P. Legrand, S. Silva, M. Castelli, L. Vanneschi, O. Schütze, L. Munoz.
  Local Search is Underused in Genetic Programming, in: Genetic Programming Theory and Practice XIV, A. Arbor (editor), Springer, 2017.
  https://hal.inria.fr/hal-01388426
• 27J. Saracco, M. Chavent.
  Clustering of Variables for Mixed Data, in: Statistics for Astrophysics: Clustering and Classification, EAS Publications Series, EDP Sciences, 2016, vol. 77, pp. 91-119.
  https://hal.archives-ouvertes.fr/hal-01417442

Books or Proceedings Editing

• 28S. Bonnevay, P. Legrand, N. Monmarché, E. Lutton, M. Schoenauer (editors)
  Artificial Evolution 2015, LNCS - Lecture Notes in Computer Science, Springer, Lyon, France, 2016, vol. 9554. [ DOI : 10.1007/978-3-319-31471-6 ]
  https://hal.inria.fr/hal-01389072
• 29O. Schuetze, L. Trujillo, P. Legrand, Y. Maldonado (editors)
  NEO 2015 - Numerical and Evolutionary Optimization: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico, Studies in Computational Intelligence, Springer, Tijuana, Mexico, 2016.
  https://hal.inria.fr/hal-01389071

Other Publications

• 30R. Azaïs, A. Genadot, B. Henry.
  Inference for conditioned Galton-Watson trees from their Harris path, September 2016, working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01360650
• 31L. Chaari, S. Badillo, T. Vincent, G. Dehaene-Lambertz, F. Forbes, P. Ciuciu.
  Subject-level Joint Parcellation-Detection-Estimation in fMRI, January 2016, working paper or preprint.
  https://hal.inria.fr/hal-01255465
• 32I. Charlier, D. Paindaveine, J. Saracco.
  Multiple-output quantile regression through optimal quantization, 2016, working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01417544
• 33M. Chavent, R. Genuer, J. Saracco.
  Combining clustering of variables and feature selection using random forests: the CoV/VSURF procedure, July 2016, working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01345840
• 34P. Del Moral, A. Kurtzmann, J. Tugaut.
  On the stability and the exponential concentration of Extended Kalman-Bucy filters, June 2016, working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01337709
• 35P. Del Moral, A. Kurtzmann, J. Tugaut.
  On the stability and the uniform propagation of chaos of Extended Ensemble Kalman-Bucy filters, June 2016, working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01337716
• 36M. Ellies-Oury, M. GAGAOUA, J. Saracco, M. Chavent, B. Picard.
  Biomarker abundance in two beef muscles depending on animal breeding practices and carcass characteristics, 2016, working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01417561
• 37A. Genadot.
  Averaging for some simple constrained Markov processes, September 2016, working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01336752
• 38I. Jlassi, J. Saracco.
  A Smooth Nonparametric Estimator of a Conditional Quantile, 2016, working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01417554
• 39I. Jlassi, J. Saracco.
  Variable importance assessment in sliced inverse regression for variable selection, 2016, working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01417552
• 40C. Nivot, B. De Saporta, F. Dufour, D. Bérard-Bergery, C. Elegbede.
  Optimization of a launcher integration process: a Markov decision process approach *, 2016, working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01269541
• 41A. Todeschini, F. Caron.
  Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities, February 2016, working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01270854

References in notes

• 42N. Duan, K.-C. Li.
  Slicing regression: a link-free regression method, in: Ann. Statist., 1991, vol. 19, n^o 2, pp. 505–530.
  http://dx.doi.org/10.1214/aos/1176348109
• 43R. Duda, P. Hart, D. Stork.
  Pattern Classification, John Wiley, 2001.
• 44K.-C. Li.
  Sliced inverse regression for dimension reduction, in: J. Amer. Statist. Assoc., 1991, vol. 86, n^o 414, pp. 316–342, With discussion and a rejoinder by the author.