1 citations · 1 across the 1 of their papers we have counts for
2 papers
stat.CO2024★ 1 cited
The Traceplot Thickens: Developing All-Purpose Convergence Diagnostics for any Markov Chain Monte Carlo Algorithm
Luke Duttweiler, Jonathan Klus, Brent A. Coull +3
Markov Chain Monte Carlo (MCMC) algorithms are frequently used to perform inference under a Bayesian modeling framework. Convergence diagnostics, such as traceplots, the Gelman-Rub…
stat.ME2018
Bayesian kernel machine regression-causal mediation analysis
Katrina L. Devick, Jennifer F. Bobb, Maitreyi Mazumdar +7
Greater understanding of the pathways through which an environmental mixture operates is important to design effective interventions. We present new methodology to estimate natural…