Latest

• High-dimensional Sobolev tests on hyperspheres
• On a modified Watson test for spherical location
• Nonparametric measure-transportation-based methods for directional data
• Nonparametric tests of independence for circular data based on trigonometric moments
• On a class of Sobolev tests for symmetry of directions, their detection thresholds, and asymptotic powers
• On some multivariate sign tests for scatter matrix eigenvalues
• On testing the equality of latent roots of scatter matrices under ellipticity
• Power enhancement for dimension detection of Gaussian signals
• Testing for auto-calibration with Lorenz and concentration curves
• On the asymptotic behavior of the leading eigenvector of Tyler’s shape estimator under weak identifiability
• Portmanteau tests for semiparametric nonlinear conditionally heteroscedastic time series models
• Asymptotic efficiency of some nonparametric tests for location on hyperspheres
• On weighted sign tests for rotational symmetry on hyperspheres
• 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
• On optimal tests for circular reflective symmetry about an unknown central direction
• Preliminary test estimation in uniformly locally asymptotically normal models
• Testing for more positive expectation dependence with application to model comparison
• 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 Sobolev tests of uniformity on the circle with an extension to the sphere
• On the power of axial tests of uniformity on spheres
• Sign tests for weak principal directions
• Testing for principal component directions under weak identifiability
• Le Cam maximin tests for symmetry of circular data based on the characteristic function
• Applied Directional Statistics
• Efficient ANOVA for directional data
• Inference on the mode of weak directional signals: A Le Cam perspective on hypothesis testing near singularities
• Modern Directional Statistics
• On the efficiency of some rank-based test for the homogeneity of concentrations
• On the estimation of the density of a directional data stream
• Preliminary test estimation for multi-sample principal components
• Skew-rotationally-symmetric distributions and related efficient inferential procedures
• 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
• On some validity-robust tests for the homogeneity of concentrations on spheres
• Optimal rank-based tests for the location parameter of a rotationally symmetric distribution on the hypersphere
• A new concept of quantiles for directional data and the angular Mahalanobis depth
• Efficient R-estimation of principal and common principal components
• Local powers of optimal one-sample and multi-sample tests for the concentration of Fisher-von Mises-Langevin distributions
• Simple optimal tests for circular reflective symmetry about a specified median direction
• On Hodges and Lehmann’s "6/$π$ result"
• One-step R-estimation in linear models with stable errors
• Optimal R-estimation of a spherical location
• Rank tests for elliptical graphical modeling
• Rank-based testing in linear models with stable errors
• Optimal rank-based testing for principal components
• Testing for common principal components under heterokurticity