Articles dans des revues avec comité de lecture (40)
  1. 21. Ley, C., Reinert, G., & Swan, Y. (2017). Stein’s method for comparison of univariate distributions. Probability surveys, 14(0), 1-52. doi:10.1214/16-PS278
  2. 22. Ley, C., Swan, Y., & Verdebout, T. (2017). Efficient ANOVA for directional data. Annals of the Institute of Statistical Mathematics, 69(1), 39-62. doi:10.1007/s10463-015-0533-x
  3. 23. Dendievel, R., & Swan, Y. (2016). One step further : an explicit solution to Robbins’ problem when n = 4. Matematyka Stosowana, 44(1). doi:10.14708/ma.v44i1.1138
  4. 24. Ley, C., & Swan, Y. (2016). Parametric Stein operators and variance bounds. Brazilian Journal of Probability and Statistics, 30(2), 171-195. doi:10.1214/14-BJPS271
  5. 25. Ley, C., & Swan, Y. (2016). A general parametric Stein characterization. Statistics & probability letters, 111, 67-71. doi:10.1016/j.spl.2016.01.008
  6. 26. Mijoule, G., Peccati, G., & Swan, Y. (2016). On the rate of convergence in de Finetti’s representation theorem. Alea, 13, 1165-1187. doi:DOI: 10.30757/ALEA.v13-42
  7. 27. Nourdin, I., Peccati, G., & Swan, Y. (2014). Integration by parts and representation of information functionals. Proceedings (IEEE International Symposium on Information Theory. Print),(14514627).
  8. 28. Nourdin, I., Peccati, G., & Swan, Y. (2014). Entropy and the fourth moment phenomenon. Journal of functional analysis, 266(5), 3170-3207. doi:10.1016/j.jfa.2013.09.017
  9. 29. Duerinckx, M., Ley, C., & Swan, Y. (2014). Maximum likelihood characterization of distributions. Bernoulli, 20(2), 775-802.
  10. 30. Hörmann, S., & Swan, Y. (2013). A note on the normal approximation error for randomly weighted self-normalized sums. Periodica mathematica Hungarica, 67(2), 143-154. doi:10.1007/s10998-013-4789-8
  11. 31. Dominicy, Y., Ley, C., & Swan, Y. (2013). A Stochastic Analysis of Table Tennis. Brazilian Journal of Probability and Statistics, 27, 467-486.
  12. 32. Ley, C., & Swan, Y. (2013). Local Pinsker inequalities via Stein’s discrete density approach. IEEE Transactions on Information Theory, 59, 5584-5591.
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