D. Paindaveine

Latest

• On a class of Sobolev tests for symmetry of directions, their detection thresholds, and asymptotic powers
• On the asymptotic behavior of the leading eigenvector of Tyler’s shape estimator under weak identifiability
• Preliminary multiple-test estimation, with applications to $k$-sample covariance estimation
• Testing uniformity on high-dimensional spheres: The non-null behaviour of the Bingham test
• Preliminary test estimation in uniformly locally asymptotically normal models
• Detecting the direction of a signal on high-dimensional spheres: Non-null and Le Cam optimality results
• Inference for spherical location under high concentration
• On optimal tests for rotational symmetry against new classes of hyperspherical distributions
• On the power of axial tests of uniformity on spheres
• Sign tests for weak principal directions
• Testing for principal component directions under weak identifiability
• Inference on the mode of weak directional signals: A Le Cam perspective on hypothesis testing near singularities
• Preliminary test estimation for multi-sample principal components
• Testing uniformity on high-dimensional spheres against monotone rotationally symmetric alternatives
• Tests of concentration for low-dimensional and high-dimensional directional data
• On high-dimensional sign tests
• High-dimensional tests for spherical location and spiked covariance
• Optimal rank-based tests for the location parameter of a rotationally symmetric distribution on the hypersphere
• Efficient R-estimation of principal and common principal components
• Rank tests for elliptical graphical modeling
• Optimal rank-based testing for principal components
• Testing for common principal components under heterokurticity