4 papers
A Dependent Feature Allocation Model Based on Random Fields
Bernardo Flores, Yang Ni, Yanxun Xu +1
We introduce a flexible framework for modeling dependent feature allocations. Our approach addresses limitations in traditional nonparametric methods by directly modeling the logit…
Monitoring Adverse Events Through Bayesian Nonparametric Clustering Across Studies
Shijie Yuan, Kevin Roberts, Noirrit Kiran Chandra +2
We introduce a Bayesian nonparametric inference approach for aggregate adverse event (AE) monitoring across studies. The proposed model seamlessly integrates external data from his…
Borrowing strength between unaligned binary time-series via Bayesian nonparametric rescaling of Unified Skewed Normal priors
Beatrice Cantoni, Giovanni Poli, Elizabeth Juarez-Colunga +1
We define a Bayesian semi-parametric model to effectively conduct inference with unaligned longitudinal binary data. The proposed strategy is motivated by data from the Human Epile…
Dir-SPGLM: A Bayesian semiparametric GLM with data-driven reference distribution
Entejar Alam, Peter Müller, Paul J. Rathouz
The recently developed semi-parametric generalized linear model (SPGLM) offers more flexibility as compared to the classical GLM by including the baseline or reference distribution…