Davy Paindaveine et Thomas Vertdebout, « Inference for spherical location under high concentration », Annals of Statistics, vol. 48, 2020, p. 2982–2998.
Davy Paindaveine et Thomas Verdebout, « Detecting the direction of a signal on high-dimensional spheres: non-null and Le Cam optimality results », Probability Theory and Related Fields, vol. 176, 2020, p. 1165–1216.
Davy Paindaveine, J. Remy et Thomas Verdebout, « Testing for principal component directions under weak identifiability », Annals of Statistics, vol. 48, n° 1, 2020, p. 324–345.
Davy Paindaveine et G. Van Bever, « Tyler shape depth », Biometrika, vol. 106, n° 4, décembre 2019, p. 913–927.
Davy Paindaveine et G. Van Bever, « Halfspace depths for scatter, concentration and shape matrices », Annals of Statistics, vol. 46, 2018, p. 3276–3307.
Davy Paindaveine, G. Pandolfo et G. Porzio, « Distance-based depths for directional data », Canadian Journal of Statistics, n° 46, 2018, p. 593–609.
Christine Cutting, Davy Paindaveine et Thomas Verdebout, « Testing uniformity on high-dimensional spheres against monotone rotationally symmetric alternatives », Annals of Statistics, vol. 45, 2017, p. 1024–1058.