5 papers
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…
Estimation of High-Dimensional Markov-Switching VAR Models with an Approximate EM Algorithm
Xiudi Li, Abolfazl Safikhani, Ali Shojaie
Regime shifts in high-dimensional time series arise naturally in many applications, from neuroimaging to finance. This problem has received considerable attention in low-dimensiona…
A Unified Framework for Semiparametrically Efficient Semi-Supervised Learning
Zichun Xu, Daniela Witten, Ali Shojaie
We consider statistical inference under a semi-supervised setting where we have access to both a labeled dataset consisting of pairs and an unlabeled datase…
Inference for linear functionals of high-dimensional longitudinal proteomics data using generalized estimating equations
Lu Xia, Ali Shojaie
Regression analysis of correlated data, where multiple correlated responses are recorded on the same unit, is ubiquitous in many scientific areas. With the advent of new technologi…