94 citations · 158 across the 24 of their papers we have counts for
5 papers · 1 filter
Estimating the Size of a Large Network and its Communities from a Random Sample
Lin Chen, Amin Karbasi, Forrest W. Crawford
Most real-world networks are too large to be measured or studied directly and there is substantial interest in estimating global network properties from smaller sub-samples. One of…
Direct likelihood-based inference for discretely observed stochastic compartmental models of infectious disease
Lam Si Tung Ho, Forrest W. Crawford, Marc A. Suchard
Stochastic compartmental models are important tools for understanding the course of infectious diseases epidemics in populations and in prospective evaluation of intervention polic…
Submodular Variational Inference for Network Reconstruction
Lin Chen, Forrest W Crawford, Amin Karbasi
In real-world and online social networks, individuals receive and transmit information in real time. Cascading information transmissions (e.g. phone calls, text messages, social me…
Birth/birth-death processes and their computable transition probabilities with biological applications
Lam Si Tung Ho, Jason Xu, Forrest W. Crawford +2
Birth-death processes track the size of a univariate population, but many biological systems involve interaction between populations, necessitating models for two or more populatio…
Confidence intervals for means under constrained dependence
Peter M. Aronow, Forrest W. Crawford, José R. Zubizarreta
We develop a general framework for conducting inference on the mean of dependent random variables given constraints on their dependency graph. We establish the consistency of an or…