3 citations · 4 across the 2 of their papers we have counts for
3 papers
math.ST2020
Adaptive minimax testing for circular convolution
Sandra Schluttenhofer, Jan Johannes
Given observations from a circular random variable contaminated by an additive measurement error, we consider the problem of minimax optimal goodness-of-fit testing in a non-asympt…
math.ST2020★ 3 cited
Minimax testing and quadratic functional estimation for circular convolution
Sandra Schluttenhofer, Jan Johannes
In a circular convolution model, we aim to infer on the density of a circular random variable using observations contaminated by an additive measurement error. We highlight the int…
math.ST2020★ 1 cited
Adaptive minimax testing in inverse Gaussian sequence space models
Sandra Schluttenhofer, Jan Johannes
In the inverse Gaussian sequence space model with additional noisy observations of the operator, we derive nonasymptotic minimax radii of testing for ellipsoid-type alternatives si…