# Sensitivity Analysis for Binary Sampling Systems via Quantitative Fisher Information Lower Bounds

@article{Stein2015SensitivityAF, title={Sensitivity Analysis for Binary Sampling Systems via Quantitative Fisher Information Lower Bounds}, author={Manuel S. Stein}, journal={IEEE Transactions on Information Theory}, year={2015}, volume={68}, pages={5601-5618} }

Determining the quality of sensing devices exhibiting minimal digitization complexity is addressed. Measurements of such sensor systems are characterized by multivariate binary distributions and assessing sensitivity via the Cramér-Rao lower bound turns out to be intractable. In this context, the Fisher matrix of the exponential family and a lower bound for arbitrary probabilistic models are discussed. The conservative approximation for Fisher’s information matrix rests on a surrogate…

## One Citation

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