Recherche

LAVANCIER Frédéric

Enseignant-chercheur en Statistique - Responsable de la coopération internationale du GENES - Directeur du CAPESA DOMAINES DE RECHERCHE
  • Statistique des processus
  • Processus ponctuels spatiaux
  • Combinaison d'estimateurs
  • Auto-similarité et forte dépendance

 

Page web perso : https://www.math.sciences.univ-nantes.fr/~lavancie/

Bureau 261 Téléphone +33 (0)2 99 05 32 25 Email frederic.lavancier@ensai.fr Adresse ENSAI
Campus de Ker Lann
51 Rue Blaise Pascal
BP 37203
35172 BRUZ Cedex

Frédéric Lavancier is professor of Statistics at ENSAI since 2023, on secondment from Nantes University, and member of CREST.
He holds a PhD in Applied Mathematics from Lille University (2006) and an Habilitation (HDR) from Nantes University (2011). He is currently at the head of the international cooperation of Genes.

 

  • Lavancier F., Le Guével R., Manent E. Feller and ergodic properties of jump-move processes with applications to interacting particle systems. submitted. arXiv
  • Balsollier L., Lavancier F., Salamero J., Kervrann C. A generative model to synthetize spatio-temporal dynamics of biomolecules in cells. Biological Imaging, 3:e22, 2023. arXiv
  • Lavancier F., Rubak E. On simulation of continuous determinantal point processes. Statistics and Computing, 33:120, 2023. arXiv
  • Poinas A., Lavancier F. Asymptotic approximation of the likelihood of stationary determinantal point processes. Scandinavian Journal of Statistics, 50(2):842-874, 2023. arXiv
  • Lavancier F., Le Guével R. Spatial birth-death-move processes : basic properties and estimation of their intensity functions. Journal of the Royal Statistical Society, series B, 83(4):798-825, 2021. arXiv
  • Lavancier F., Poinas A., Waagepetersen R. Adaptive estimating function inference for non-stationary determinantal point processes. Scandinavian Journal of Statistics, 48(1):87-107, 2021. arXiv
  • Chernova O., Lavancier F., Rochet P. Averaging of density kernel estimators. Stat. Proba. Letters, 158:108645, 2020. arXiv
  • Lavancier F., Pécot T., Zengzhen L., Kervrann C. Testing independence between two random sets for the analysis of colocalization in bio-imaging. Biometrics, 76(1):36-46, 2020. arXiv
  • Coeurjolly J.-F., Lavancier F. Understanding spatial point patterns through intensity and conditional intensities. In Stochastic Geometry, Lecture Notes in Mathematics vol. 2237, Coupier, D (Ed.), Springer, 2019, 45-85.
  • Poinas A., Delyon B., Lavancier F. Mixing properties and central limit theorem for associated point processes. Bernoulli, 25(3):1724-1754, 2019. arXiv
  • Coeurjolly J.-F., Lavancier F. Approximation intensity for pairwise interaction Gibbs point processes using determinantal point processes. Electronic Journal of Statistics, 12(2):3181-3203, 2018. arXiv
  • Bardenet R., Lavancier F., Mary X., Vasseur A. On a few statistical applications of determinantal point processes. ESAIM: proceedings and surveys, 60:180-202, 2017.
  • Lavancier F., Rochet P. A tutorial on estimator averaging in spatial point process models. Journal de la SFDS, 158(3):106-123, 2017. arXiv
  • Dereudre D., Lavancier F. Consistency of likelihood estimation for Gibbs point processes. Annals of Statistics, 45(2):744-770, 2017. arXiv
  • Biscio C., Lavancier F. Contrast estimation for parametric stationary determinantal point processes. Scandinavian Journal of Statistics, 44(1):204-229, 2017. arXiv
  • Coeurjolly J.-F., Lavancier F. Parametric estimation of pairwise Gibbs point processes with infinite range interaction. Bernoulli, 23(2):1299-1334, 2017. arXiv
  • Biscio C., Lavancier F. Brillinger mixing of determinantal point processes and statistical applications. Electronic Journal of Statistics, 10:582-607, 2016. arXiv
  • Lavancier F., Møller J. Modelling aggregation on the large scale and regularity on the small scale in spatial point pattern datasets. Scandinavian Journal of Statistics, 43(2):587-609, 2016. arXiv
  • Lavancier F., Rochet P. A general procedure to combine estimators. Computational Statistics and Data Analysis, 94:175-192, 2016. arXiv
  • Biscio C., Lavancier F. Quantifying repulsiveness of determinantal point processes. Bernoulli, 22(4):2001-2028, 2016. arXiv
  • Lavancier F., Kervrann C. A two-color interacting random balls model for co-localization analysis of proteins. In Geometric Science of Information, Lecture Notes in Computer Science vol. 9389, Nielsen, F and Barbaresco (Eds.), Springer, 2015, 179-186.
  • Lavancier F., Møller J., Rubak E. Determinantal point process models and statistical inference. Journal of the Royal Statistical Society, series B, 77(4):853-877, 2015. arXiv (extended version)
  • Héas P., Lavancier F., Kadri-Harouna S. Self-similar prior and wavelet bases for hidden incompressible turbulent motion. SIAM Journal on Imaging Sciences, 7(2):1171-1209, 2014. arXiv
  • Dereudre D., Lavancier F., Stankova Helisova K. Estimation of the intensity parameter of the germ-grain Quermass-interaction model when the number of germs is not observed. Scandinavian Journal of Statistics, 41(3):809-829, 2014. arXiv
  • Lavancier F., Leipus R., Philippe A., Surgailis D. Detection of non-constant long memory parameter. Econometric Theory, 29(5):1009-1056, 2013. arXiv
  • Coeurjolly J.-F., Lavancier F. Residuals and goodness-of-fit tests for stationary marked Gibbs point processes. Journal of the Royal Statistical Society, series B, 75(2):247-276, 2013. arXiv
  • Amblard P.-O., Coeurjolly J.-F., Lavancier F., Philippe A. Basic properties of the Multivariate Fractional Brownian Motion. Séminaires et Congrès, 28:65-87, 2013. arXiv
  • Coeurjolly J.-F., Dereudre D., Drouilhet R., Lavancier F. Takacs Fiksel method for stationary marked Gibbs point processes. Scandinavian Journal of Statistics, 39(3):416-443, 2012. arXiv
  • Lavancier F. Aggregation of isotropic autoregressive fields. Journal of Statistical Planning and Inference, 141(12):3862-3866, 2011. arXiv
  • Dereudre D., Lavancier F. Practical simulation and estimation for Gibbs Delaunay-Voronoi tessellations with geometric hardcore interaction. Computational Statistics and Data Analysis, 55(1):498-519, 2011. arXiv
  • Lavancier F., Philippe A. Some convergence results on quadratic forms for random fields and application to empirical covariances. Prob. Theory and Related Fields, 149:493-514, 2011. arXiv
  • Lavancier F., Philippe A., Surgailis D. A two-sample test for comparison of long memory parameters. Journal of Multivariate Analysis,101:2118-2136, 2010. arXiv
  • Lavancier F., Philippe A., Surgailis D. Covariance function of vector self-similar process. Stat. Proba. Letters, 79(23):2415-2421, 2009. arXiv (Erratum)
  • Dereudre D., Lavancier F. Campbell equilibrium equation and pseudo-likelihood estimation for non-hereditary Gibbs point processes. Bernoulli, 15(4):1368-1396, 2009.
  • Lavancier F. The V/S test of long-range dependence in random fields. Electron. J. Statist, 2:1373-1390, 2008.
  • Lavancier F. Invariance principles for non-isotropic long memory random fields. Statistical Inference and Stochastic Processes, 10(3):255-282, 2007.
  • Lavancier F. Long memory random fields. in Dependence in Probability and Statistics, Lecture Notes in Statistics vol. 187, Bertail, P; Doukhan, P; Soulier, Ph (Eds.), Springer, 2006.
  • Lavancier F. Processus empirique de fonctionnelles de champs gaussiens à longue mémoire. C. R. Acad. Sci. Paris, Ser. I, 342:345-348, 2006. (Preprint (extended version) : Pub. IRMA, Lille, 63(IX):1-26, 2005.)
  • Lavancier F., Caini F., Gazeau A. Plan de sondage pour mesures mobiles de la pollution atmosphérique. Pollution Atmosphérique, 180:551-567, 2003.