4 papers · 1 filter
Detecting Conflicts in Evidence Synthesis Models Using Score Discrepancies
Fuming Yang, David J. Nott, Anne M. Presanis
Evidence synthesis models combine multiple data sources to estimate latent quantities of interest, enabling reliable inference on parameters that are difficult to measure directly.…
Optimization-centric cutting feedback for semiparametric models
Linda S. L. Tan, David J. Nott, David T. Frazier
Complex statistical models are often built by combining multiple submodels, called modules. Here we consider modular inference where the modules contain both parametric and nonpara…
Robust Bayesian methods using amortized simulation-based inference
Wang Yuyan, Michael Evans, David J. Nott
Bayesian simulation-based inference (SBI) methods are used in statistical models where simulation is feasible but the likelihood is intractable. Standard SBI methods can perform po…
Variational inference for hierarchical models with conditional scale and skewness corrections
Lucas Kock, Linda S. L. Tan, Prateek Bansal +1
Gaussian variational approximations are widely used for summarizing posterior distributions in Bayesian models, especially in high-dimensional settings. However, a drawback of such…