no code implementations • 21 Dec 2021 • James Leiner, Boyan Duan, Larry Wasserman, Aaditya Ramdas
Rasines and Young (2022) offers an alternative approach that uses additive Gaussian noise -- this enables post-selection inference in finite samples for Gaussian distributed data and asymptotically when errors are non-Gaussian.