87 citations · 289 across the 27 of their papers we have counts for
33 papers
Semi-supervised learning in unmatched linear regression using an empirical likelihood approach
Fadoua Balabdaoui, Jinyu Chen
Knowing the link between observed predictive variables and outcomes is crucial for making inference in any regression model. When this link is missing, partially or completely, cla…
Deconvolution in unlinked linear models
Fadoua Balabdaoui, Antonio Di Noia, Cécile Durot
Unlinked regression, in which covariates and responses are observed separately without known correspondence, has recently gained increasing attention. Deconvolution, on the other h…
Balancing Evidentiary Value and Sample Size of Adaptive Designs with Application to Animal Experiments
Leonhard Held, Fadoua Balabdaoui, Saverio Fontana +1
Reducing the number of experimental units is one of the three pillars of the 3R principles (Replace, Reduce, Refine) in animal research. At the same time, statistical error rates n…
Linear regression with known noise distribution up to a scale: The reward of not using the OLSE
Fadoua Balabdaoui, Justine Leclerc
While the ordinary least squares estimator (OLSE) is still the most used estimator in linear regression models, other estimators can be more efficient when the error distribution i…
Parametric convergence rate of a non-parametric estimator in multivariate mixtures of power series distributions under conditional independence
Fadoua Balabdaoui, Harald Besdziek, Yong Wang
The conditional independence assumption has recently appeared in a growing body of literature on the estimation of multivariate mixtures. We consider here conditionally independent…
Parametric convergence rate of some nonparametric estimators in mixtures of power series distributions
Fadoua Balabdaoui, Harald Besdziek, Yong Wang
We consider the problem of estimating a mixture of power series distributions with infinite support, to which belong very well-known models such as Poisson, Geometric, Logarithmic…