3 papers
stat.ME2025
Permutations accelerate Approximate Bayesian Computation
Antoine Luciano, Charly Andral, Christian P. Robert +1
Approximate Bayesian Computation (ABC) methods have become essential tools for performing inference when likelihood functions are intractable or computationally prohibitive. Howeve…
stat.ME2025
Phylogenetic latent space models for network data
Federico Pavone, Daniele Durante, Robin J. Ryder
Latent space models for network data characterize each node through a vector of latent features whose pairwise similarities define the edge probabilities among the pairs of nodes.…
stat.CO2024
Saddlepoint Monte Carlo and its Application to Exact Ecological Inference
Théo Voldoire, Nicolas Chopin, Guillaume Rateau +1
Assuming X is a random vector and A a non-invertible matrix, one sometimes need to perform inference while only having access to samples of Y = AX. The corresponding likelihood is…