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math.PR2022
Bounds for matrices of inclusion probabilities in rejective sampling
Simon Ruetz, Karin Schnass
Motivated by a desire to model n-sparse signals more realistically, we study matrices of inclusion probabilities for conditional Poisson or rejective sampling in the non-asymptotic…
math.PR2020
Submatrices with non-uniformly selected random supports and insights into sparse approximation
Simon Ruetz, Karin Schnass
In this paper we derive tail bounds on the norms of random submatrices with non-uniformly distributed supports. We apply these results to sparse approximation and conduct an analys…