2 papers
stat.ME2024
Bootstrap inference for linear regression between variables that are never jointly observed: application in in vivo experiments
Polina Arsenteva, Mohamed Amine Benadjaoud, Hervé Cardot
In modern experimental science, there is a common problem of estimating the coefficients of a linear regression in a context where the variables of interest cannot be observed simu…
stat.ME2023
Joint clustering with alignment for temporal data in a one-point-per-experiment setting
Polina Arsenteva, Mohamed Amine Benadjaoud, Hervé Cardot
Temporal data, obtained in the setting where it is only possible to observe one time point per experiment, is widely used in different research fields, yet remains insufficiently a…