Showing stat.MEShow all
2 papers · 1 filter
stat.ME2026
Non-parametric Bayesian inference via loss functions under model misspecification
Yu Luo, David A. Stephens, Daniel J. Graham +1
In the usual Bayesian setting, a full probabilistic model is required to link the data and parameters, and the form of this model and the inference and prediction mechanisms are sp…
stat.ME2024
Bayesian Analysis of Sigmoidal Gaussian Cox Processes via Data Augmentation
Renaud Alie, David A. Stephens, Alexandra M. Schmidt
Many models for point process data are defined through a thinning procedure where locations of a base process (often Poisson) are either kept (observed) or discarded (thinned). In…