Submitted

[22]    Preprint.

Genest, C., Ouimet, F. and Richards, D. (2024). Submitted.

[21]    On the Gaussian product inequality conjecture for disjoint principal minors of Wishart random matrices.

Genest, C., Ouimet, F. and Richards, D. (2024). Submitted. arXiv:2311.00202. 27 pp. (arXiv)

[20]    Non-asymptotic approximations for Pearson's chi-square statistic and its application to confidence intervals for strictly convex functions of discrete distributions.

Bax, E. and Ouimet, F. (2023). Submitted. arXiv:2309.01882. 20 pp. (arXiv)

[19]    Asymptotics for non-degenerate multivariate $U$-statistics with estimated nuisance parameters under the null and local alternative hypotheses.

Desgagné, A., Genest, C. and Ouimet, F. (2024). Submitted. arXiv:2402.11272. 16 pp. (arXiv)

[18]    A new adaptive local polynomial density estimation procedure on complicated domains.

Bertin, K., Klutchnikoff, N. and Ouimet, F. (2023). Submitted. arXiv:2308.01156. 43 pp. (arXiv) (code)

[17]    Miscellaneous results related to the Gaussian product inequality conjecture for the joint distribution of traces of Wishart matrices.

Genest, C. and Ouimet, F. (2023). Journal of Mathematical Analysis and Applications, 523 (1), 10 pp. (arXiv)

[16]    Minimax properties of Dirichlet kernel density estimators.

Bertin, K., Genest, C., Klutchnikoff, N. and Ouimet, F. (2023). Journal of Multivariate Analysis, 195, 16 pp. (arXiv)

[15]    Goodness-of-fit tests for the Laplace, Gaussian and exponential power distributions based on $\lambda$-th power skewness and kurtosis.

Desgagné, A., Lafaye de Micheaux, P. and Ouimet, F. (2023). Statistics, 57 (1), 94-122. (arXiv) (code)

[14]    A comprehensive empirical power comparison of univariate goodness-of-fit tests for the Laplace distribution.

Desgagné, A., Lafaye de Micheaux, P. and Ouimet, F. (2022). Journal of Statistical Computation and Simulation, 92 (18), 3743-3788. (arXiv) (code)

[13]    A symmetric matrix-variate normal local approximation for the Wishart distribution and some applications.

Ouimet, F. (2022). Journal of Multivariate Analysis, 189, 17 pp. (arXiv)

[12]    An improvement of Tusnady's inequality in the bulk.

Ouimet, F. (2022). Advances in Applied Mathematics, 133, 24 pp. (arXiv)

[11]    Asymptotic properties of Dirichlet kernel density estimators.

Ouimet, F. and Tolosana-Delgado, R. (2022). Journal of Multivariate Analysis, 187, 25 pp. (arXiv)

[10]    Moments of the Riemann zeta function on short intervals of the critical line.

Arguin, L.-P., Ouimet, F. and Radziwill, M. (2021). The Annals of Probability, 49 (6), 3106-3141. (arXiv)

  [9]    Asymptotic properties of Bernstein estimators on the simplex.

Ouimet, F. (2021). Journal of Multivariate Analysis, 185, 20 pp. (arXiv)

  [8]    A precise local limit theorem for the multinomial distribution and some applications.

Ouimet, F. (2021). Journal of Statistical Planning and Inference, 215, 218-233. (arXiv)

  [7]    On the Le Cam distance between Poisson and Gaussian experiments and the asymptotic properties of Szasz estimators.

Ouimet, F. (2021). Journal of Mathematical Analysis and Applications, 499 (1), 18 pp. (arXiv)

  [6]    A counterexample to the existence of a general central limit theorem for pairwise independent identically distributed random variables.

Avanzi, B., Boglioni Beaulieu, G., Lafaye de Micheaux, P., Ouimet, F. and Wong, B. (2021).  Journal of Mathematical Analysis and Applications, 499 (1), 13 pp. (arXiv)

  [5]    Large deviations and continuity estimates for the derivative of a random model of $\log|\zeta|$ on the critical line.

Arguin, L.-P. and Ouimet, F. (2019). Journal of Mathematical Analysis and Applications, 472 (1), 687-695. (arXiv)

  [4]    Poisson-Dirichlet statistics for the extremes of a randomized Riemann zeta function.

Ouimet, F. (2018). Electronic Communications in Probability, 23, no. 46, 15 pp. (arXiv)

  [3]    Complete monotonicity of multinomial probabilities and its application to Bernstein estimators on the simplex.

Ouimet, F. (2018). Journal of Mathematical Analysis and Applications, 466 (2), 1609-1617. (arXiv)

  [2]    Geometry of the Gibbs measure for the discrete 2D Gaussian free field with scale-dependent variance.

Ouimet, F. (2017). ALEA, 14 (2), 851-902. (arXiv)

  [1]    Extremes of the two-dimensional Gaussian free field with scale-dependent variance.

Arguin, L.-P. and Ouimet, F. (2016). ALEA, 13 (2), 779–808. (arXiv)