5 papers
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…
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.…
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…
Asymptotics of approximate Bayesian computation when summary statistics converge at heterogeneous rates
Caroline Lawless, Christian P. Robert, Judith Rousseau +1
We consider the asymptotic properties of Approximate Bayesian Computation (ABC) for the realistic case of summary statistics with heterogeneous rates of convergence. We allow some…
Some are observed, all leave traces: whole-population modeling of French elite civil servants' career paths
Théo Voldoire, Robin J. Ryder, Ryan Lahfa
Elite civil servants may come and go between the public and private sectors throughout their career, a process of particular interest for the public and social scientists. However,…