activity
20182022
most citedHierarchical network models for structured exchangeable interaction processes

6 citations · 6 across the 3 of their papers we have counts for

collaborators
Showing stat.MEShow all

5 papers · 1 filter

stat.ME2022

Estimating Time-Varying Direct and Indirect Causal Excursion Effects with Longitudinal Binary Outcomes

Jieru Shi, Zhenke Wu, Walter Dempsey

Construction of just-in-time adaptive interventions, such as prompts delivered by mobile apps to promote and maintain behavioral change, requires knowledge about time-varying moder…

stat.ME2022

Recurrent event analysis in the presence of real-time high frequency data via random subsampling

Walter Dempsey

Digital monitoring studies collect real-time high frequency data via mobile sensors in the subjects' natural environment. This data can be used to model the impact of changes in ph…

stat.ME2020

A Robust Functional EM Algorithm for Incomplete Panel Count Data

Alexander Moreno, Zhenke Wu, Jamie Yap +5

Panel count data describes aggregated counts of recurrent events observed at discrete time points. To understand dynamics of health behaviors, the field of quantitative behavioral…

stat.ME20196 cited

Hierarchical network models for structured exchangeable interaction processes

Walter Dempsey, Brandon Oselio, Alfred Hero

Network data often arises via a series of structured interactions among a population of constituent elements. E-mail exchanges, for example, have a single sender followed by potent…

stat.ME2018

Exchangeable, Markov multi-state survival process

Walter Dempsey

We consider exchangeable Markov multi-state survival processes -- temporal processes taking values over a state-space with at least one absorbing failure state $\flat…