15 citations · 19 across the 3 of their papers we have counts for
4 papers
Multiscale quantile segmentation
Laura Jula Vanegas, Merle Behr, Axel Munk
We introduce a new methodology for analyzing serial data by quantile regression assuming that the underlying quantile function consists of constant segments. The procedure does not…
Minimax estimation in linear models with unknown design over finite alphabets
Merle Behr, Axel Munk
We provide a minimax optimal estimation procedure for F and W in matrix valued linear models Y = F W + Z where the parameter matrix W and the design matrix F are unknown but the la…
Multiscale Blind Source Separation
Merle Behr, Chris Holmes, Axel Munk
We provide a new methodology for statistical recovery of single linear mixtures of piecewise constant signals (sources) with unknown mixing weights and change points in a multiscal…
Identifiability for Blind Source Separation of Multiple Finite Alphabet Linear Mixtures
Merle Behr, Axel Munk
We give under weak assumptions a complete combinatorial characterization of identifiability for linear mixtures of finite alphabet sources, with unknown mixing weights and unknown…