| Adaptive estimation for Hawkes processes; application to genome analysis P Reynaud-Bouret, S Schbath | 281 | 2010 |
| Lasso and probabilistic inequalities for multivariate point processes NR Hansen, P Reynaud-Bouret, V Rivoirard | 222 | 2015 |
| Adaptive estimation of the intensity of inhomogeneous Poisson processes via concentration inequalities P Reynaud-Bouret Probability Theory and Related Fields 126 (1), 103-153, 2003 | 157 | 2003 |
| Inference of functional connectivity in neurosciences via Hawkes processes P Reynaud-Bouret, V Rivoirard, C Tuleau-Malot 2013 IEEE global conference on signal and information processing, 317-320, 2013 | 128 | 2013 |
| Exponential inequalities, with constants, for U-statistics of order two C Houdré, P Reynaud-Bouret Stochastic inequalities and applications, 55-69, 2003 | 125 | 2003 |
| Goodness-of-fit tests and nonparametric adaptive estimation for spike train analysis P Reynaud-Bouret, V Rivoirard, F Grammont, C Tuleau-Malot The Journal of Mathematical Neuroscience 4, 1-41, 2014 | 122 | 2014 |
| Microscopic approach of a time elapsed neural model J Chevallier, MJ Cáceres, M Doumic, P Reynaud-Bouret Mathematical Models and Methods in Applied Sciences 25 (14), 2669-2719, 2015 | 96 | 2015 |
| Nonparametric estimation of the division rate of a size-structured population M Doumic, M Hoffmann, P Reynaud-Bouret, V Rivoirard SIAM Journal on Numerical Analysis 50 (2), 925-950, 2012 | 71 | 2012 |
| Reconstructing the functional connectivity of multiple spike trains using Hawkes models RC Lambert, C Tuleau-Malot, T Bessaih, V Rivoirard, Y Bouret, ... Journal of neuroscience methods 297, 9-21, 2018 | 67 | 2018 |
| Near optimal thresholding estimation of a Poisson intensity on the real line P Reynaud-Bouret, V Rivoirard | 64 | 2010 |
| Adaptive density estimation: a curse of support? P Reynaud-Bouret, V Rivoirard, C Tuleau-Malot Journal of Statistical Planning and Inference 141 (1), 115-139, 2011 | 57 | 2011 |
| Optimal change-point detection and localization N Verzelen, M Fromont, M Lerasle, P Reynaud-Bouret The Annals of Statistics 51 (4), 1586-1610, 2023 | 56 | 2023 |
| Kernels based tests with non-asymptotic bootstrap approaches for two-sample problems M Fromont, B Laurent, M Lerasle, P Reynaud-Bouret Conference on Learning Theory, 23.1-23.23, 2012 | 55 | 2012 |
| Some non asymptotic tail estimates for Hawkes processes P Reynaud-Bouret, E Roy Bulletin of the Belgian Mathematical Society-Simon Stevin 13 (5), 883-896, 2007 | 51 | 2007 |
| The two-sample problem for poisson processes: Adaptive tests with a nonasymptotic wild bootstrap approach M Fromont, B Laurent, P Reynaud-Bouret | 50 | 2013 |
| Adaptive tests of homogeneity for a Poisson process M Fromont, B Laurent, P Reynaud-Bouret Annales de l'IHP Probabilités et statistiques 47 (1), 176-213, 2011 | 46 | 2011 |
| Penalized projection estimators of the Aalen multiplicative intensity P Reynaud-Bouret Bernoulli 12 (4), 633-661, 2006 | 45 | 2006 |
| A data-dependent weighted LASSO under Poisson noise XJ Hunt, P Reynaud-Bouret, V Rivoirard, L Sansonnet, R Willett IEEE Transactions on Information Theory 65 (3), 1589-1613, 2018 | 34 | 2018 |
| Bootstrap and permutation tests of independence for point processes M Albert, Y Bouret, M Fromont, P Reynaud-Bouret | 34 | 2015 |
| Multiple tests based on a gaussian approximation of the unitary events method with delayed coincidence count C Tuleau-Malot, A Rouis, F Grammont, P Reynaud-Bouret Neural computation 26 (7), 1408-1454, 2014 | 28 | 2014 |
Christine MalotVerified email at unice.fr
