Information Covid Research


Associate Professor of Statistics - Chair of Statistics Department Research interests
  • Statistics for dependent data
  • Time series analysis
Bureau 256 Téléphone +33 (0)2 99 05 32 76 Email Adresse ENSAI
Campus de Ker Lann
51 Rue Blaise Pascal
BP 37203
35172 BRUZ Cedex


Debaly, Z.M., Truquet, L. Multivariate time series models for mixed data. Link

Doukhan, P., Neumann, H.M., Truquet, L. Stationarity and ergodic properties for some observation-driven models in random environments. PDF


Debaly, Zinsou Max, Truquet, L. (2021) A note on the stability of some Multivariate Count Autoregressions. Statistics and probability letters. A part of the unpublished manuscript Link

Debaly, Zinsou Max, Truquet, L. (2021) Iterations of dependent random maps and exogeneity in nonlinear dynamics. To appear in Econometric Theory. PDF

Truquet, L. (2020) Coupling and perturbation techniques for categorical time series. Accepted for publication in Bernoulli. PDF

Truquet, L. (2020) A perturbation analysis of some Markov chains models with time-varying parameters. Accepted for publication in Bernoulli. PDF

Fokianos, K., Truquet, L. (2019) On categorical time series models with covariates.PDF.  Stochastic processes and their applications, Vol. 129, No. 9, 3446--3462.

Truquet, L. (2019) Local stationarity and time-inhomogeneous Markov chains. PDF.  The Annals of Statistics, Vol. 47, No. 4, 2023-2050. Supplementary material PDF.

Truquet, L. (2019) Root n consistent estimation of the marginal density in some stationary time series. PDF. Bernoulli, Vol. 25, No. 3, 2107-2136. Supplementary material PDF.

Truquet, L (2018) Efficient semiparametric estimation in time-varying regression models. Statistics. Vol. 52, n°3, pp. 590-618. PDF

Cadre, B., Massiot, G., Truquet, L. (2017) A nonparametric test for Cox processes.Journal of Statistical Planning and Inference. Vol. 184, pp. 48-61.PDF

Truquet, L. (2017) Parameter stability and semiparametric inference in time-varying ARCH models. Journal of Royal Statistical Society Series B, Vol. 79, pp. 1391-1414. PDF

Cadre, B., Truquet, L. (2015) Nonparametric regression estimation onto a Poisson point process covariate. ESAIM: PS, Vol. 19, pp. 251-267.

Truquet, L. (2014) On a family of contrasts for parametric inference in degenerate ARCH models. Econometric Theory, Vol. 30, Issue 6, pp. 1165-1206.

Truquet, L., Yao, Y.-F. (2012) On the quasi-likelihood estimation for random coefficient autoregressions. Statistics, Vol. 46, Issue 4, pp. 505-521.

Truquet, L. (2011) On a nonparametric resampling scheme for Markov random fields. Electron. J. Stat., Vol. 5, pp. 1503–1536.

Kachour, M., Truquet, L. (2011) A p-Order signed integer-valued autoregressive (SINAR(p)) model. Journal of Time Series Analysis, Vol. 32, Issue 3, pp. 223-236.

Truquet, L. (2010) A moment inequality of the Marcinkiewicz_Zygmund type for some weakly dependent random fields. Statistics and Probability Letters, Vol. 80, pp. 1673-1679.

Doukhan, P., Mayo, N., Truquet, L. (2009) Weak dependence, models and some applications. Metrika, Vol. 69, Numbers 2-3.

Doukhan, P., Truquet, L. (2007) A fixed point approach to model random fields. Alea, Vol. 3, pp. 111–132.

2018/2019 : Cours de stat math. Cours 1, Cours 2, Cours 3

2014/2015 : Cours séries temporelles 2A. Poly, TD1.

2014/2015Cours statistique des processus 3A

2013/2014 : Martingales et processus de Levy. Cours+TD.


Autres supports de cours

Cours Mathématiques pour Economistes (niveau L2) PDF

Cours Probabilités pour l'ingénieur (niveau M1) PDF

Cours Statistique des processus (niveau M2) PDF