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most citedThe RKHS Approach to Minimum Variance Estimation Revisited: Variance Bounds, Sufficient Statistics, and Exponential Families

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math.ST2012★ 1 cited

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…

math.ST2010

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…