593 citations · 992 across the 23 of their papers we have counts for
6 papers · 1 filter
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…
Confidence curves for UQ validation: probabilistic reference vs. oracle
Pascal Pernot
Confidence curves are used in uncertainty validation to assess how large uncertainties () are associated with large errors (). An oracle curve is commonly used as referen…
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…
A critical review of statistical calibration/prediction models handling data inconsistency and model inadequacy
Pascal Pernot, Fabien Cailliez
Inference of physical parameters from reference data is a well studied problem with many intricacies (inconsistent sets of data due to experimental systematic errors, approximate p…
The parameters uncertainty inflation fallacy
Pascal Pernot
Statistical estimation of the prediction uncertainty of physical models is typically hindered by the inadequacy of these models due to various approximations they are built upon. T…
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…