11 citations · 42 across the 18 of their papers we have counts for
20 papers · 1 filter
Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement
Patrick Vossler, Jialin Ouyang, F. Richard Guo +5
Hospital quality improvement (QI) programs routinely face multiple candidate interventions to optimize hospital flow, but existing methods struggle to estimate and rank the causal…
Semi-Parametric Inference for Doubly Stochastic Spatial Point Processes: An Approximate Penalized Poisson Likelihood Approach
Si Cheng, Jon Wakefield, Ali Shojaie
Doubly-stochastic point processes model the occurrence of events over a spatial domain as an inhomogeneous Poisson process conditioned on the realization of a random intensity func…
Joint Estimation and Inference for Multi-Experiment Networks of High-Dimensional Point Processes
Xu Wang, Ali Shojaie
Modern high-dimensional point process data, especially those from neuroscience experiments, often involve observations from multiple conditions and/or experiments. Networks of inte…
Direct estimation of differential Granger causality between two high-dimensional time series
Yue Wang, Jing Ma, Ali Shojaie
Differential Granger causality, that is understanding how Granger causal relations differ between two related time series, is of interest in many scientific applications. Modeling…
Interaction Models and Generalized Score Matching for Compositional Data
Shiqing Yu, Mathias Drton, Ali Shojaie
Applications such as the analysis of microbiome data have led to renewed interest in statistical methods for compositional data, i.e., multivariate data in the form of probability…
Causal Structural Learning Via Local Graphs
Wenyu Chen, Mathias Drton, Ali Shojaie
We consider the problem of learning causal structures in sparse high-dimensional settings that may be subject to the presence of (potentially many) unmeasured confounders, as well…