28 citations · 130 across the 44 of their papers we have counts for
5 papers · 1 filter
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…
Author Clustering and Topic Estimation for Short Texts
Graham Tierney, Christopher Bail, Alexander Volfovsky
Analysis of short text, such as social media posts, is extremely difficult because of their inherent brevity. In addition to classifying topics of such posts, a common downstream t…
dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference
Neha R. Gupta, Vittorio Orlandi, Chia-Rui Chang +9
dame-flame is a Python package for performing matching for observational causal inference on datasets containing discrete covariates. This package implements the Dynamic Almost Mat…