2 papers
stat.ME2025
Likelihood-free Posterior Density Learning for Uncertainty Quantification in Inference Problems
Rui Zhang, Oksana A. Chkrebtii, Dongbin Xiu
Generative models and those with computationally intractable likelihoods are widely used to describe complex systems in the natural sciences, social sciences, and engineering. Fitt…
stat.ME2025
Dimension-reduced Reconstruction Map Learning for Parameter Estimation in Likelihood-Free Inference Problems
Rui Zhang, Oksana A. Chkrebtii, Dongbin Xiu
Many application areas rely on models that can be readily simulated but lack a closed-form likelihood, or an accurate approximation under arbitrary parameter values. Existing param…