Paper · arXiv
Linear Response Estimators for Singular Statistical Models
We define susceptibilities as a measure of the response of an observable quantity of a parameterized statistical model to a perturbation of the data for a general class of observables. We define estimators for these susceptibilities as statistics in a sequence of n data-points and prove that these estimators are consistent and asymptotically unbiased in the large n regime.
| Authors | Chris Elliott, Daniel Murfet |
|---|---|
| Primary category | math.ST |
| Published | 8 May 2026 |
| Last updated at source | 8 May 2026 |
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