3 papers
stat.ME2026
Marginal Likelihood Inference for Fitting Dynamical Survival Analysis Models to Epidemic Count Data
Suchismita Roy, Alexander A. Fisher, Jason Xu
Stochastic compartmental models are prevalent tools for describing disease spread, but inference under these models is challenging for many types of surveillance data when the marg…
stat.ME2025
Bridged Posterior: Optimization, Profile Likelihood and a New Approach to Generalized Bayes
Cheng Zeng, Eleni Dilma, Jason Xu +1
Optimization is widely used in statistics, and often efficiently delivers point estimates on useful spaces involving structural constraints or combinatorial structure. To quantify…
stat.ME2025
Gradient-bridged Posterior: Bayesian Inference for Models with Implicit Functions
Cheng Zeng, Yaozhi Yang, Jason Xu +1
Many statistical problems include model parameters that are defined as the solutions to optimization sub-problems. These include classical approaches such as profile likelihood as…