270 citations · 1.5k across the 31 of their papers we have counts for
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The RKHS Approach to Minimum Variance Estimation Revisited: Variance Bounds, Sufficient Statistics, and Exponential Families
Alexander Jung, Sebastian Schmutzhard, Franz Hlawatsch
The mathematical theory of reproducing kernel Hilbert spaces (RKHS) provides powerful tools for minimum variance estimation (MVE) problems. Here, we extend the classical RKHS based…
A Lower Bound on the Estimator Variance for the Sparse Linear Model
Sebastian Schmutzhard, Alexander Jung, Franz Hlawatsch +2
We study the performance of estimators of a sparse nonrandom vector based on an observation which is linearly transformed and corrupted by additive white Gaussian noise. Using the…
Unbiased Estimation of a Sparse Vector in White Gaussian Noise
Alexander Jung, Zvika Ben-Haim, Franz Hlawatsch +1
We consider unbiased estimation of a sparse nonrandom vector corrupted by additive white Gaussian noise. We show that while there are infinitely many unbiased estimators for this p…