Articles dans des revues avec comité de lecture (44)
  1. 8. Germain, G., & Swan, Y. (2023). A note on one-dimensional Poincaré inequalities by Stein-type integration. Bernoulli, 29(2), 1714-1740.
  2. 9. Anastasiou, A., Barp, A., Briol, F. X., Ebner, B., Gaunt, R., Ghaderinezad, F., Gorham, J., Ley, C., Liu, Q., Mackey, L., Reinert, G., & Swan, Y. (2023). Stein’s Method Meets Statistics: A Review of Some Recent Developments. Statistical science, 38(1), 120-139.
  3. 10. Mijoule, G., Raič, M., Reinert, G., & Swan, Y. (2023). Stein’s density method for multivariate continuous distributions. Electronic Journal of Probability, 28, 59. doi:10.1214/22-EJP883
  4. 11. Ernst, M., Reinert, G., & Swan, Y. (2022). On Papathanasiou’s covariance expansions. Alea (Rio de Janeiro), 19(2), 1827-1849. doi:10.30757/ALEA.V19-69
  5. 12. Daly, F., Ghaderinezhad, F., Ley, C., & Swan, Y. (2021). Some simple variance bounds from Stein’s method. Alea (Rio de Janeiro), 18(2), 1845-1858. doi:10.30757/ALEA.V18-69
  6. 13. Ley, C., Daly, F., Ghaderinezad, F., & Swan, Y. (2021). Simple variance bounds with applications to Bayesian posteriors and intractable distributions. Alea (Rio de Janeiro).
  7. 14. Ernst, M., & Swan, Y. (2021). Distances between distributions via Stein's method. Journal of theoretical probability, 35, 949-987.
  8. 15. Ernst, M., Reinert, G., & Swan, Y. (2020). First-order covariance inequalities via Stein's method. Bernoulli, 26(3), 2051-2081. doi:10.3150/19-BEJ1182
  9. 16. Arras, B., Azmoodeh, E., Poly, G., & Swan, Y. (2020). Stein characterizations for linear combinations of gamma random variables. Brazilian Journal of Probability and Statistics, 34(2), 394-413. doi:doi:10.1214/18-BJPS420
  10. 17. Gaunt, R., Mijoule, G., & Swan, Y. (2020). Some new Stein operators for product distributions. Brazilian Journal of Probability and Statistics, 34(4), 795-808. doi:doi:10.1214/19-BJPS460
  11. 18. Arras, B., Azmoodeh, E., Poly, G., & Swan, Y. (2019). A bound on the Wasserstein-2 distance between linear combinations of independent random variables. Stochastic processes and their applications, 129(7), 2341-2375. doi:10.1016/j.spa.2018.07.009
  12. 19. Drescher, M., Louchard, G., & Swan, Y. (2019). The adaptive sampling revisited. Discrete mathematics and theoretical computer science, 21(3). doi:10.23638/DMTCS-21-3-13
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