28 citations · 130 across the 44 of their papers we have counts for
3 papers · 2 filters
Density Regression with Bayesian Additive Regression Trees
Vittorio Orlandi, Jared Murray, Antonio Linero +1
Flexibly modeling how an entire density changes with covariates is an important but challenging generalization of mean and quantile regression. While existing methods for density r…
Likelihood-based inference for partially observed stochastic epidemics with individual heterogeneity
Fan Bu, Allison E. Aiello, Alexander Volfovsky +1
We develop a stochastic epidemic model progressing over dynamic networks, where infection rates are heterogeneous and may vary with individual-level covariates. The joint dynamics…
Latent Community Adaptive Network Regression
Heather Mathews, Alexander Volfovsky
The study of network data in the social and health sciences frequently concentrates on two distinct tasks (1) detecting community structures among nodes and (2) associating covaria…