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stat.ME2026
Flexible latent variable models on graphs: Laplace approximated inference for multiview network data
Anna van Es, Eva Cantoni, Davide La Vecchia
We propose a novel and flexible nonlinear approach for dimensionality reduction of large-scale multiview network data and derive its theory. The (linear) predictor incorporates obs…
stat.ME2025
Novel Tau-Informed Initialization for Maximum Likelihood Estimation of Copulas with Discrete Margins
Anna van Es, Eva Cantoni
We study Gaussian-copula models with discrete margins, with primary emphasis on low-count (Poisson) data. Our goal is exact yet computationally efficient maximum likelihood (ML) es…