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physics.data-an2022★ 1 cited
Comparison of recent estimators of uncertainty on the mean for small measurement samples with normal and non-normal error distributions
Pascal Pernot, Jean-Paul Berthet
We review the alternative proposals introduced recently in the literature to update the standard formula to estimate the uncertainty on the mean of repeated measurements, and we co…
physics.data-an2020
Impact of non-normal error distributions on the benchmarking and ranking of Quantum Machine Learning models
Pascal Pernot, Bing Huang, Andreas Savin
Quantum machine learning models have been gaining significant traction within atomistic simulation communities. Conventionally, relative model performances are being assessed and c…
physics.data-an2006★ 3 cited
Bayesian analysis of signal deconvolution using measured instrument response functions
Pascal Pernot
Using measured instrumental response functions for data deconvolution is a known source of uncertainty. This problem is revisited here with Bayesian data analysis an Monte Carlo si…