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}
}
  • M. Stein
  • Published 10 December 2015
  • Computer Science
  • IEEE Transactions on Information Theory
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… 

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