3 papers
stat.ML2026
Minimum Distance Summaries for Robust Neural Posterior Estimation
Sherman Khoo, Dennis Prangle, Song Liu +1
Simulation-based inference (SBI) enables amortized Bayesian inference by first training a neural posterior estimator (NPE) on prior-simulator pairs, typically through low-dimension…
stat.CO2025
A Comparison of Kernels for ABC-SMC
Dennis Prangle, Cecilia Viscardi, Sammy Ragy
A popular method for likelihood-free inference is approximate Bayesian computation sequential Monte Carlo (ABC-SMC) algorithms. These approximate the posterior using a population o…
stat.ML2025
Flexible Tails for Normalizing Flows
Tennessee Hickling, Dennis Prangle
Normalizing flows are a flexible class of probability distributions, expressed as transformations of a simple base distribution. A limitation of standard normalizing flows is repre…