6 citations · 13 across the 7 of their papers we have counts for
7 papers
Ordinal Outcome State-Space Models for Intensive Longitudinal Data
Teague R. Henry, Lindley R. Slipetz, Ami Falk +2
Intensive longitudinal (IL) data are increasingly prevalent in psychological science, coinciding with technological advancements that make it simple to deploy study designs such as…
Analyzing Ecological Momentary Assessment Data with State-Space Models: Considerations and Recommendations
Lindley R. Slipetz, Jeremy W. Eberle, Cheri A. Levinson +3
Ecological momentary assessment (EMA) data have a broad base of application in the study of time trends and relations. In EMA studies, there are a number of design considerations w…
Missing Data in Discrete Time State-Space Modeling of Ecological Momentary Assessment Data: A Monte-Carlo Study of Imputation Methods
Lindley R. Slipetz, Ami Falk, Teague R. Henry
When using ecological momentary assessment data (EMA), missing data is pervasive as participant attrition is a common issue. Thus, any EMA study must have a missing data plan. In t…
A purely data-driven framework for prediction, optimization, and control of networked processes: application to networked SIS epidemic model
Ali Tavasoli, Teague Henry, Heman Shakeri
Networks are landmarks of many complex phenomena where interweaving interactions between different agents transform simple local rule-sets into nonlinear emergent behaviors. While…
Optimal Instrument Selection using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators
Teague R. Henry, Zachary F. Fisher, Kenneth A. Bollen
Model-Implied Instrumental Variable Two-Stage Least Squares (MIIV-2SLS) is a limited information, equation-by-equation, non-iterative estimator for latent variable models. Associat…
Modeling community structure and topics in dynamic text networks
Teague Henry, David Banks, Christine Chai +1
The last decade has seen great progress in both dynamic network modeling and topic modeling. This paper draws upon both areas to create a Bayesian method that allows topic discover…
Modeling Heterogeneous Peer Assortment Effects using Finite Mixture Exponential Random Graph Models
Teague R Henry, Kathleen M Gates, Mitchell J Prinstein +1
This article develops a class of models called Sender/Receiver Finite Mixture Exponential Random Graph Models (SRFM-ERGMs) that enables inference on networks. This class of models…