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20052026
most citedMultivariate quantiles and multiple-output regression quantiles: From optimization to halfspace depth

252 citations · 1.3k across the 41 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

math.ST2020★ 8 cited

Rank-Based Testing for Semiparametric VAR Models: a measure transportation approach

Marc Hallin, Davide La Vecchia, Hang Liu

We develop a class of tests for semiparametric vector autoregressive (VAR) models with unspecified innovation densities, based on the recent measure-transportation-based concepts o…

math.ST2020★ 26 cited

Fully distribution-free center-outward rank tests for multiple-output regression and MANOVA

Marc Hallin, Daniel Hlubinka, Šárka Hudecová

Extending rank-based inference to a multivariate setting such as multiple-output regression or MANOVA with unspecified d-dimensional error density has remained an open problem for…

math.ST2020★ 3 cited

On universally consistent and fully distribution-free rank tests of vector independence

Hongjian Shi, Marc Hallin, Mathias Drton +1

Rank correlations have found many innovative applications in the last decade. In particular, suitable rank correlations have been used for consistent tests of independence between…

stat.ME2020

Multivariate goodness-of-Fit tests based on Wasserstein distance

Marc Hallin, Gilles Mordant, Johan Segers

Goodness-of-fit tests based on the empirical Wasserstein distance are proposed for simple and composite null hypotheses involving general multivariate distributions. For group fami…

stat.ME2020

M-estimation in GARCH Models in the Absence of Higher-Order Moments

Marc Hallin, Hang Liu, Kanchan Mukherjee

We consider a class of M-estimators of the parameters of a GARCH (p,q) model. These estimators involve score functions and, for adequate choices of the score functions, are asympto…