4 papers
Decomposing Direct and Indirect Biases in Linear Models under Demographic Parity Constraint
Bertille Tierny, Arthur Charpentier, François Hu
Linear models are widely used in high-stakes decision-making due to their simplicity and interpretability. Yet when fairness constraints such as demographic parity are introduced,…
Functional Analysis of Loss-development Patterns in P&C Insurance
Arthur Charpentier, Qiheng Guo, Mike Ludkovski
We analyze loss development in NAIC Schedule P loss triangles using functional data analysis methods. Adopting the functional viewpoint, our dataset comprises 3300+ curves of incre…
When Numbers Mislead Us
Arthur Charpentier
The belief that numbers offer a single, objective description of reality overlooks a crucial truth: data does not speak for itself. Every dataset results from choices-what to measu…
KNN and K-means in Gini Prametric Spaces
Cassandra Mussard, Arthur Charpentier, Stéphane Mussard
This paper introduces enhancements to the K-means and K-nearest neighbors (KNN) algorithms based on the concept of Gini prametric spaces, instead of traditional metric spaces. Unli…