Books


  1. Modern Directional Statistics, Chapman & Hall, CRC press, 2017 (coauthor: C.Ley).
Preprints

  1. On new Sobolev tests of uniformity for circular data, submitted (coauthors: S.R. Jammalamadaka and S. Meintanis).
  2. An overview of uniformity tests on the hypersphere, submitted (coauthor: E.Garcia-Portugues).
  3. Detecting the direction of a signal on high-dimensional spheres: non-null and Le Cam optimality results, submitted (coauthor: D.Paindaveine).
  4. Testing for principal component directions under weak identifiability, submitted (coauthors: D.Paindaveine and J.Rémy).
  5. Optimal tests for circular reflective symmetry about an unknown central direction, submitted (coauthors: J.Ameijeiras-Alonso, C.Ley, A.Pewsey).
  6. On optimal tests for rotational symmetry against new classes of hyperspherical distributions, submitted (coauthors: E.Garcia-Portugues and D.Paindaveine).
  1. Papers in journals
  1. Le Cam maximin tests for symmetry of circular data based on the characteristic function, Statistica Sinica, to appear. (coauthor: S.Meintanis).
  2. On the efficiency of some rank-based test for the homogeneity of concentrations, Journal of Statistical Planning and Inference, Vol.191, 101–109 (2017).
  3. Testing uniformity on high-dimensional spheres against contiguous rotationally symmetric alternatives, Annals of Statistics, Vol. 45, 1024–1058 (2017) (coauthors: C.Cutting and D.Paindaveine).
  4. Skew-rotationally-symmetric distributions on the unit sphere and related efficient inferential procedures, Journal of Multivariate Analysis, Vol. 159, 67–81 (2017) (coauthor: C.Ley).
  5. Inference on the mode of weak directional signals: a Le Cam perspective on hypothesis testing near singularities, Annals of Statistics, Vol. 45, 800–832 (2017) (coauthor: D.Paindaveine).
  6. On the estimation of the density of a directional data stream, Scandinavian Journal of Statistics, Vol. 44, 249–267 (2017) (coauthors: A.Amiri and B.Thiam).
  7. Preliminary test estimation for multi-sample principal components, Econometrics and Statistics, Vol. 2, 106–116 (2017) (coauthors: D. Paindaveine and J. Rasoafaraniaina).
  8. Efficient ANOVA for directional data, Annals of the Institute of Statistical Mathematics, Vol. 69, 39–62 (2017) (coauthors: C.Ley and Y.Swan).
  9. Universal asymptotics for high-dimensional sign tests, Bernoulli, Vol. 22, 1745-1769 (2016) (coauthor: D.Paindaveine).
  10. On some validity-robust tests for the homogeneity of concentrations, Journal of Nonparametric Statistics, Vol. 27, 372-383 (2015).
  11. High-dimensional tests for spherical location and spiked covariance, Journal of Multivariate Analysis, Vol. 139, 79-91 (2015) (coauthors: C.Ley and D. Paindaveine).
  12. Local powers of optimal one- and multi-sample tests for the concentration of Fisher- von Mises-Langevin distributions. International Statistical Review, Vol. 82, 440–456 (2014) (coauthor: C.Ley).
  13. Efficient R-estimation of principal and common principal components. Journal of the American Statistical Association, Vol. 109, 1071-1083 (2014) (coauthors: M. Hallin and D.Paindaveine).
  14. Simple, asymptotically distribution-free, optimal tests for reflective symmetry about a known circular median. Statistica Sinica, Vol. 24, 1319-1340 (2014) (coauthor: C.Ley).
  15. A new concept of quantiles for directional data and the angular Mahalanobis depth. Electronic Journal of Statistics, Vol. 8, 795-816 (2014) (coauthors: C.Ley and C.Sabbah).
  16. Optimal rank-based tests for Common Principal Components, Bernoulli, Vol. 19, 2524-2556 (2013) (coauthors: M. Hallin and D. Paindaveine).
  17. Optimal R-estimation of a spherical location. Statistica Sinica, Vol. 23(1), 305-333 (2013) (coauthors: C. Ley, Y. Swan and B.Thiam).
  18. R-estimation in linear models with stable errors. Journal of Econometrics, Vol. 172(2), 195-204 (2013) (coauthors: M.Hallin, Y.Swan and D.Veredas).
  19. Rank-based testing in linear models with stable errors. Journal of Nonparametric Statistics, Vol. 23, 305-320 (2011) (coauthors: M.Hallin, Y.Swan and D.Veredas).
  20. Optimal rank-based tests for Principal Component Analysis. Annals of Statistics, Vol. 38, 3245-3299 (2010) (coauthors: M. Hallin and D. Paindaveine).
  21. Testing for common principal components under heterokurticity. Journal of Nonparametric Statistics, Vol. 22, 879-895 (2010) (coauthors: M. Hallin and D. Paindaveine).
  22. Pseudo-Gaussian inference in heterokurtic elliptical Common Principal Components model. Annales de l’ISUP, LII, 9-24 (2008) (coauthors: M. Hallin and D. Paindaveine).
Other Publications
  1. Tests of concentration for low-dimensional and high-dimensional directional data, In
    S. Ejaz Ahmed Ed.,
    Big and Complex Data Analysis: Statistical Methodologies and Applications, Springer,Cham Heidelberg New York, 209-227 (2017). (coauthors: C.Cutting and D.Paindaveine).
  2. Optimal rank-based tests for the location parameter of a rotationally symmetric distribution on the hypersphere. Mathematical Statistics and Limit Theorems – Festschrift in Honour of Paul Deheuvels, Springer, 249-270 (2015) (coauthor: D.Paindaveine).
  3. On Hodges and Lehmann’s ”6/pi result”. Contemporary Developments in Statistical Theory, Springer, 137-153 (2014) (coauthors: M.Hallin and Y.Swan).
  4. Common principal components. Encyclopedia of Environmetrics Second Edition, A.-H. El-Shaarawi and W. Piegorsch (eds). John Wiley & Sons Ltd, Chichester, UK, pp. 447-449 (2012).
  5. 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).
  6. Rank-based tests for elliptical graphical modeling. Journal de la Société Française de Statistique, Vol. 153, 82-100 (2012) (coauthor: D.Paindaveine).