PREPRINTS

  1. Detecting the direction of a signal on high-dimensional spheres: non-null and Le Cam optimality results (coauthor: D.Paindaveine), submitted.
  2. Testing for principal component directions under weak identifiability (coauthors: D.Paindaveine and J. Rémy), submitted.
  3. Optimal tests for circular reflective symmetry about an unknown central direction (coauthors: J.Ameijeiras-Alonso, C.Ley, A. Pewsey), submitted.
  4. On optimal tests for rotational symmetry against new classes of hyperspherical distributions (coauthors: E. Garcia-Portugues and D.Paindaveine), submitted.

    PAPERS

  5. Le Cam maximin tests for symmetry of circular data based on the characteristic function (coauthor: S.Meintanis), Statistica Sinica , in press (2018).
  6. On the efficiency of some rank-based test for the homogeneity of concentrations, Journal of Statistical Planning and Inference , 191, 101-109 (2017).
  7. Inference on the mode of weak directional signals: a Le Cam perspective on hypothesis testing near singularities (coauthor: D.Paindaveine), Annals of Statistics , 45, 800-832 (2017).
  8. Skew-rotationally-symmetric distributions on the unit sphere and related efficient inferential procedures (coauthor: C.Ley), Journal of Multivariate Analysis , 159, 67-81 (2017).
  9. Testing uniformity on high-dimensional spheres against contiguous rotationally symmetric alternatives (coauthors: Chr.Cutting and D.Paindaveine), Annals of Statistics , 45, 1024-1058 (2017).
  10. On the estimation of the density of a directional data stream (coauthors: A.Amiri and B.Thiam), Scandinavian Journal of Statistics , 44, 249-267 (2017).
  11. Preliminary test estimation for multi-sample principal components (coauthors: D. Paindaveine and J.Rasoafaraniaina), Econometrics and Statistics , 2, 106-116 (2017).
  12. Efficient ANOVA for directional data (coauthors: C.Ley and Y.Swan), Annals of the Institute of Statistical Mathematics , 69, 39-62 (2017).
  13. On high-dimensional sign tests (coauthor: D.Paindaveine), Bernoulli, 22, 1745-1769 (2016).
  14. On some validity-robust tests for the homogeneity of concentrations, Journal of Nonparametric Statistics , 27, 372-383 (2015).
  15. High-dimensional tests for spherical location and spiked covariance (coauthors: C.Ley and D.Paindaveine), Journal of Multivariate Analysis, 139, 79-91 (2015).
  16. Simple, asymptotically distribution-free, optimal tests for reflective symmetry about a known circular median (coauthor: C.Ley), Statistica Sinica, 24, 1319-1340 (2014).
  17. Efficient R-estimation of principal and common principal components (coauthors: M.Hallin and D.Paindaveine), Journal of the American Statistical Association, 109, 1071-1083 (2014).
  18. Local powers of optimal one- and multi-sample tests for the concentration of Fisher-von Mises-Langevin distributions (coauthor: C.Ley), International Statistical Review, 82, 440-456 (2014).
  19. A new concept of quantiles for directional data and the angular Mahalanobis depth (coauthors: C.Ley and C.Sabbah), Electronic Journal of Statistics, 8, 795-816 (2014).
  20. Optimal R-estimation of a spherical location (coauthors: C.Ley, Y.Swan and B.Thiam), Statistica Sinica, 23(1), 305-333 (2013) .
  21. One-step R-estimation in linear models with stable errors (coauthors: M.Hallin, Y.Swan and D.Veredas), Journal of Econometrics,172(2), 195-204 (2013).
  22. Optimal rank-based tests for common principal components (coauthors: M.Hallin and D.Paindaveine), Bernoulli, 19, 2524-2556 (2013) .
  23. Rank-based inference in linear models with stable errors (coauthors: M.Hallin, Y.Swan and D.Veredas), Journal of Nonparametric Statistics,, 305-320 (2011)
  24. Optimal rank-based testing for principal components (coauthors: M.Hallin and D.Paindaveine). Annals of Statistics, 38, 3245-3299 (2010). 
  25. Testing for common principal components under heterokurticity (coauthors: M.Hallin and D.Paindaveine). Journal of Nonparametric Statistics, 22, 879-895 (2010). 
  26. Pseudo-Gaussian inference in heterokurtic elliptical common principal components models (coauthors: M.Hallin and D.Paindaveine). Annales de l'ISUP, LII, 9-24 (2008). 


    27. OTHER PUBLICATIONS

  27. Tests of concentration for low-dimensional and high-dimensional directional data (with Chr.Cutting and D.Paindaveine). In S. Ejaz Ahmed Ed., Big and Complex Data Analysis: Statistical Methodologies and Applications, Springer, Cham Heidelberg New York, 209-227 (2017)
  28. Optimal rank-based tests for the location parameter of a rotationally symmetric distribution on the hypersphere (coauthor: D.Paindaveine), Springer Proceedings in Mathematics & Statistics , 249-270 (2015).
  29. On the Hodges and Lehmann ``6/pi result" (coauthors: M.Hallin and Y.Swan), Springer Proceedings in Mathematics & Statistics , 68, 137-153 (2014).
  30. Common principal components, Statistical Theory and Methods, Encyclopedia of Environmetrics, 2nd John Wiley & Sons Ltd, Chichester, UK, pp.447-449 (2012) .
  31. Rank-based tests for elliptical graphical modeling (coauthor: D.Paindaveine), Journal de la Société Française de Statistique , 82-100 (2012).
  32. A contribution to asymptotic inference on eigenvectors and eigenvalues of covariance and scatter matrices, Mémoire de l'Académie Royale des Sciences, des Lettres et des Beaux-Arts (2012).


    33. BOOKS

  33. Modern Directional Statistics (coauthor : C. Ley), Chapman & Hall/CRC Press, Boca Raton, Florida.