Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
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Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

[1]
P. Legrand.
Artificial evolution, fractal analysis and applications, Université de Bordeaux, November 2019, Habilitation à diriger des recherches.
https://hal.inria.fr/tel-02429815

Articles in International Peer-Reviewed Journals

[2]
J. Anselmi.
Combining Size-Based Load Balancing with Round-Robin for Scalable Low Latency, in: IEEE Transactions on Parallel and Distributed Systems, 2019, pp. 1-3, forthcoming. [ DOI : 10.1109/TPDS.2019.2950621 ]
https://hal.archives-ouvertes.fr/hal-02276789
[3]
J. Anselmi, J. Doncel.
Asymptotically Optimal Size-Interval Task Assignments, in: IEEE Transactions on Parallel and Distributed Systems, 2019, vol. 30, no 11, pp. 2422-2433. [ DOI : 10.1109/TPDS.2019.2920121 ]
https://hal.archives-ouvertes.fr/hal-02318576
[4]
J. Anselmi, F. Dufour.
Power-of-d-Choices with Memory: Fluid Limit and Optimality, in: Mathematics of Operations Research, 2019, pp. 1-31, forthcoming.
https://hal.archives-ouvertes.fr/hal-02394147
[5]
M. Arnaudon, P. Del Moral.
A variational approach to nonlinear and interacting diffusions, in: Stochastic Analysis and Applications, 2019, vol. 37, no 5, pp. 717-748. [ DOI : 10.1080/07362994.2019.1609985 ]
https://hal.archives-ouvertes.fr/hal-02429162
[6]
R. Azaïs, A. Genadot, B. Henry.
Inference for conditioned Galton-Watson trees from their Harris path, in: ALEA : Latin American Journal of Probability and Mathematical Statistics, 2019, vol. 16, no 1, pp. 1-45, https://arxiv.org/abs/1609.01057. [ DOI : 10.30757/ALEA.v16-21 ]
https://hal.archives-ouvertes.fr/hal-01360650
[7]
A. N. Bishop, P. Del Moral.
An explicit Floquet-type representation of Riccati aperiodic exponential semigroups, in: International Journal of Control, 2019, pp. 1-9. [ DOI : 10.1080/00207179.2019.1590647 ]
https://hal.archives-ouvertes.fr/hal-02429300
[8]
A. N. Bishop, P. Del Moral.
On the stability of matrix-valued Riccati diffusions, in: Electronic Journal of Probability, 2019, vol. 24. [ DOI : 10.1214/19-EJP342 ]
https://hal.archives-ouvertes.fr/hal-02429272
[9]
A. N. Bishop, P. Del Moral.
Stability Properties of Systems of Linear Stochastic Differential Equations with Random Coefficients, in: SIAM Journal on Control and Optimization, 2019, vol. 57, no 2, pp. 1023-1042. [ DOI : 10.1137/18M1182759 ]
https://hal.archives-ouvertes.fr/hal-02429241
[10]
A. N. Bishop, P. Del Moral, K. Kamatani, B. Rémillard.
On one-dimensional Riccati diffusions, in: Annals of Applied Probability, 2019, vol. 29, no 2, pp. 1127-1187. [ DOI : 10.1214/18-AAP1431 ]
https://hal.archives-ouvertes.fr/hal-02429264
[11]
A. Carrion‐Castillo, L. Van der Haegen, N. Tzourio‐Mazoyer, T. Kavaklioglu, S. Badillo, M. Chavent, J. Saracco, M. Brysbaert, S. Fisher, B. Mazoyer, C. Francks.
Genome sequencing for rightward hemispheric language dominance, in: Genes, Brain and Behavior, April 2019, e12572 p. [ DOI : 10.1111/gbb.12572 ]
https://hal.archives-ouvertes.fr/hal-02093544
[12]
I. Charlier, D. Paindaveine, J. Saracco.
Multiple‐output quantile regression through optimal quantization, in: Scandinavian Journal of Statistics, December 2019. [ DOI : 10.1111/sjos.12426 ]
https://hal.archives-ouvertes.fr/hal-02429263
[13]
M. Chavent, R. Genuer, J. Saracco.
Combining clustering of variables and feature selection using random forests, in: Communications in Statistics - Simulation and Computation, February 2019, pp. 1-20. [ DOI : 10.1080/03610918.2018.1563145 ]
https://hal.archives-ouvertes.fr/hal-02013631
[14]
A. Conanec, B. Picard, D. Durand, G. Cantalapiedra-Hijar, M. Chavent, C. Denoyelle, D. Gruffat, J. Normand, J. Saracco, M.-P. Ellies-Oury.
New Approach Studying Interactions Regarding Trade-Off between Beef Performances and Meat Qualities, in: Foods, June 2019, vol. 8, no 6, 197 p. [ DOI : 10.3390/foods8060197 ]
https://hal.archives-ouvertes.fr/hal-02429287
[15]
O. L. d. V. Costa, F. Dufour.
Hamilton-Jacobi-Bellman inequality for the average control of piecewise deterministic Markov processes, in: Stochastics: An International Journal of Probability and Stochastic Processes, 2019, vol. 91, no 6, pp. 817-835. [ DOI : 10.1080/17442508.2018.1546305 ]
https://hal.archives-ouvertes.fr/hal-02414337
[16]
P. Del Moral, J. Tugaut.
Uniform propagation of chaos and creation of chaos for a class of nonlinear diffusions, in: Stochastic Analysis and Applications, 2019, vol. 37, no 6, pp. 909-935. [ DOI : 10.1080/07362994.2019.1622426 ]
https://hal.archives-ouvertes.fr/hal-02429140
[17]
F. Dufour, T. Prieto-Rumeau.
Approximation of Discounted Minimax Markov Control Problems and Zero-Sum Markov Games Using Hausdorff and Wasserstein Distances, in: Dynamic Games and Applications, 2019, vol. 9, no 1, pp. 68-102. [ DOI : 10.1007/s13235-018-0253-y ]
https://hal.inria.fr/hal-01953983
[18]
M. P. Ellies-Oury, M. Chavent, A. Conanec, M. Bonnet, B. Picard, J. Saracco.
Statistical model choice including variable selection based on variable importance: A relevant way for biomarkers selection to predict meat tenderness, in: Scientific Reports, December 2019, vol. 9, no 1. [ DOI : 10.1038/s41598-019-46202-y ]
https://hal.archives-ouvertes.fr/hal-02429345
[19]
M.-P. Ellies-Oury, H. Lorenzo, C. Denoyelle, J. Saracco, B. Picard.
An Original Methodology for the Selection of Biomarkers of Tenderness in Five Different Muscles, in: Foods, June 2019, vol. 8, no 6, 206 p. [ DOI : 10.3390/foods8060206 ]
https://hal.archives-ouvertes.fr/hal-02429282
[20]
R.-A. Ricardo, L. Garcia, Á. Fernández-Rodríguez, J. Saracco, J.-M. André, V. Lespinet-Najib.
Impact of Speller Size on a Visual P300 Brain-Computer Interface (BCI) System under Two Conditions of Constraint for Eye Movement, in: Computational Intelligence and Neuroscience, July 2019, vol. 2019, pp. 1-16. [ DOI : 10.1155/2019/7876248 ]
https://hal.archives-ouvertes.fr/hal-02429293

Invited Conferences

[21]
B. De Saporta, F. Dufour, H. Zhang.
Numerical Approximation of Optimal Strategies for Impulse Control of Piecewise Deterministic Markov Processes. Application to Maintenance Optimisation, in: SIAM Conference on Control and Its Applications CT19, Chengdu, China, June 2019.
https://hal.archives-ouvertes.fr/hal-02161718

International Conferences with Proceedings

[22]
B. Berthelot, E. Grivel, P. Legrand, J.-M. André, P. Mazoyer, T. Ferreira.
Filtering-based Analysis Comparing the DFA with the CDFA for Wide Sense Stationary Processes, in: EUSIPCO 2019 - 27th European Signal Processing Conference, A Coruna, Spain, September 2019.
https://hal.archives-ouvertes.fr/hal-02147655
[23]
B. Berthelot, E. Grivel, P. Legrand, M. Donias, J.-M. André, P. Mazoyer, T. Ferreira.
2D Fourier Transform Based Analysis Comparing the DFA with the DMA, in: EUSIPCO 2019 - 27th European Signal Processing Conference, A Coruna, Spain, September 2019.
https://hal.archives-ouvertes.fr/hal-02147663

Conferences without Proceedings

[24]
T. Cherchi, C. Baysse, B. De Saporta, F. Dufour.
Optimal predictive maintenance policy for multi-component systems, in: JdS 2019 - 51èmes Journées de Statistique, Nancy, France, June 2019.
https://hal.archives-ouvertes.fr/hal-02376646
[25]
B. De Saporta, F. Dufour, H. Zhang.
Maintenance optimization with piecewise deterministic Markov processes, in: Journées IMT-IMAG, Toulouse, France, April 2019.
https://hal.archives-ouvertes.fr/hal-02376724
[26]
H. Lorenzo, R. Misbah, J. Odeber, P.-E. Morange, J. Saracco, D.-A. Trégouët, R. Thiébaut.
High-Dimensional Multi-Block Analysis of Factors Associated with Thrombin Generation Potential, in: CBMS 2019 - 32nd IEEE International Symposium on Computer-Based Medical Systems (CBMS), Cordoba, Spain, IEEE, June 2019, pp. 453-458. [ DOI : 10.1109/CBMS.2019.00094 ]
https://hal.archives-ouvertes.fr/hal-02429302

Scientific Books (or Scientific Book chapters)

[27]
F. Dufour, T. Prieto-Rumeau.
Numerical Approximations for Discounted Continuous Time Markov Decision Processes, in: Modeling, Stochastic Control, Optimization, and Applications, G. Yin, Q. Zhang (editors), Springer, July 2019, pp. 147-171. [ DOI : 10.1007/978-3-030-25498-8_7 ]
https://hal.archives-ouvertes.fr/hal-02414376

Internal Reports

[28]
B. D. O. Anderson, A. N. Bishop, P. Del Moral, C. Palmier.
Backward Nonlinear Smoothing Diffusions, ANU; UTS; Inria; IMB., October 2019, https://arxiv.org/abs/1910.14511.
https://hal.archives-ouvertes.fr/hal-02342600
[29]
P. Del Moral, S. S. Singh.
A forward-backward stochastic analysis of diffusion flows, Inria, June 2019, https://arxiv.org/abs/1906.09145.
https://hal.inria.fr/hal-02161914

Other Publications

[30]
M. Arnaudon, P. Del Moral.
A second order analysis of McKean-Vlasov semigroups, December 2019, https://arxiv.org/abs/1906.05140 - working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02151808
[31]
M. Arnaudon, P. Del Moral.
A variational approach to nonlinear and interacting diffusions, January 2019, https://arxiv.org/abs/1812.04269 - working paper or preprint.
https://hal.archives-ouvertes.fr/hal-01950673
[32]
B. Delyon, B. De Saporta, N. Krell, L. Robert.
Investigation of asymmetry in E. coli growth rate, October 2019, https://arxiv.org/abs/1509.05226 - working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02327095
[33]
F. Dufour, A. Genadot.
A convex programming approach for discrete-time Markov decision processes under the expected total reward criterion, April 2019, https://arxiv.org/abs/1903.08853 - working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02071036
[34]
N. Randriamihamison, N. Vialaneix, P. Neuvial.
Applicability and Interpretability of Hierarchical Agglomerative Clustering With or Without Contiguity Constraints, September 2019, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02294847
References in notes
[35]
N. Duan, K.-C. Li.
Slicing regression: a link-free regression method, in: Ann. Statist., 1991, vol. 19, no 2, pp. 505–530.
http://dx.doi.org/10.1214/aos/1176348109
[36]
R. Duda, P. Hart, D. Stork.
Pattern Classification, John Wiley, 2001.
[37]
K.-C. Li.
Sliced inverse regression for dimension reduction, in: J. Amer. Statist. Assoc., 1991, vol. 86, no 414, pp. 316–342, With discussion and a rejoinder by the author.