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math.ST2026
Non-asymptotic two-sample kernel testing with the spectrally truncated normalized MMD
Perrine Lacroix, Bertrand Michel, Franck Picard +1
Kernel methods provide a flexible and powerful framework for nonparametric statistical testing by embedding probability distributions into a reproducing kernel Hilbert space (RKHS)…
math.ST2024
Trade-off between predictive performance and FDR control for high-dimensional Gaussian model selection
Perrine Lacroix, Marie-Laure Martin
In the context of high-dimensional Gaussian linear regression for ordered variables, we study the variable selection procedure via the minimization of the penalized least-squares c…