5 citations · 10 across the 12 of their papers we have counts for
18 papers
Convex Order Comparisons for Sub-Gamma Random Variables
El Mahdi Khribch, Badr-Eddine Chérief-Abdellatif
Recent work has shown that sub-Gaussian random variables are dominated in convex order by a sharp multiple of a Gaussian. We study the analogous question for the sub-Gamma class un…
From Bayes' Rule to Bayes Rules: Optimal Information Processing and Axiomatic Foundations Beyond Probability
Jeremie Houssineau, Badr-Eddine Chérief-Abdellatif
This paper develops principled updating rules for possibilistic inference, where uncertainty about a fixed parameter is represented by a possibility function, the maxitive analogue…
Asymptotics of Nonparametric Estimation under general non-monotone MAR missingness: A Bayesian Approach
Badr-Eddine Chérief-Abdellatif, Jeffrey Näf
Missing values are ubiquitous in statistical practice, with potentially detrimental consequences for any statistical analysis. As such, a wealth of methods and theoretical results…
Maxitive Donsker-Varadhan Formulation for Possibilistic Variational Inference
Jasraj Singh, Shelvia Wongso, Jeremie Houssineau +1
Variational inference (VI) is a cornerstone of modern Bayesian learning, enabling approximate inference in complex models. However, its formulation depends on expectations and dive…
Predictively Oriented Posteriors
Yann McLatchie, Badr-Eddine Cherief-Abdellatif, David T. Frazier +1
We advocate for a new statistical principle that combines the most desirable aspects of both parameter inference and density estimation. This leads us to the predictively oriented…
Parametric MMD Estimation with Missing Values: Robustness to Missingness and Data Model Misspecification
Badr-Eddine Chérief-Abdellatif, Jeffrey Näf
In the missing data literature, the Maximum Likelihood Estimator (MLE) is celebrated for its ignorability property under missing at random (MAR) data. However, its sensitivity to m…