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Our tools for susceptibilities, local learning coefficients, and SGMCMC sampling are open source in the devinterp library.
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Timaeus has merged into Resolution. Open roles are now posted on the Resolution careers page.
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.