2 papers
stat.ME2026
Information criteria exploiting latent structure for model selection in Structural Equation Models
Marion Naveau, Magalie Houée-Bigot, Matthieu Marbac +2
Structural equation models (SEM) are widely used to describe dependency structures between latent variables, making model selection a key issue in many applications. Existing infor…
math.ST2025
Posterior contraction rates in a sparse non-linear mixed-effects model
Marion Naveau, Maud Delattre, Laure Sansonnet
Recent works have shown an interest in investigating the frequentist asymptotic properties of Bayesian procedures for high-dimensional linear models under sparsity constraints. How…