4 papers
Bayesian Analysis Using a Constrained Mixture of Normal-Inverse-Gamma Models
Madelyn Clinch, Jonathan R. Bradley, Andrés F. Barrientos +1
Gaussian mixtures of regressions are commonly implemented via a Gibbs sampler. This Markov chain Monte Carlo (MCMC) algorithm can be computationally burdensome because of the need…
An Efficient Class of Bayesian Generalized Quadratic Nonlinear Dynamic Models with Application to Birth Rate Monitoring
Madelyn Clinch, Jonathan R. Bradley
Many real-world spatio-temporal processes exhibit nonlinear dynamics that can often be described through stochastic partial differential equations. These models are flexible and sc…
Exact Bayesian Inference for Multivariate Spatial Data of Any Size with Application to Air Pollution Monitoring
Madelyn Clinch, Jonathan R. Bradley
Fine particulate matter and aerosol optical thickness are of interest to atmospheric scientists for understanding air quality and its various health/environmental impacts. The avai…
Generating Independent Replicates Directly from the Posterior Distribution for a Class of Spatial Latent Gaussian Process Models
Jonathan R. Bradley, Madelyn Clinch
Markov chain Monte Carlo (MCMC) allows one to generate dependent replicates from a posterior distribution for effectively any Bayesian hierarchical model. However, MCMC can produce…