286 citations · 316 across the 7 of their papers we have counts for
7 papers
Group integrative dynamic factor models with application to multiple subject brain connectivity
Younghoon Kim, Zachary F. Fisher, Vladas Pipiras
This work introduces a novel framework for dynamic factor model-based group-level analysis of multiple subjects time series data, called GRoup Integrative DYnamic factor (GRIDY) mo…
Latent Gaussian dynamic factor modeling and forecasting for multivariate count time series
Younghoon Kim, Marie-Christine Düker, Zachary F. Fisher +1
This work considers estimation and forecasting in a multivariate, possibly high-dimensional count time series model constructed from a transformation of a latent Gaussian dynamic f…
A Square-Root Second-Order Extended Kalman Filtering Approach for Estimating Smoothly Time-Varying Parameters
Zachary F. Fisher, Sy-Miin Chow, Peter C. M. Molenaar +3
Researchers collecting intensive longitudinal data (ILD) are increasingly looking to model psychological processes, such as emotional dynamics, that organize and adapt across time…
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data
Zachary F. Fisher, Younghoon Kim, Barbara Fredrickson +1
Intensive Longitudinal Data (ILD) is increasingly available to social and behavioral scientists. With this increased availability come new opportunities for modeling and predicting…
An Instrumental Variable Estimator for Mixed Indicators: Analytic Derivatives and Alternative Parameterizations
Zachary F. Fisher, Kenneth A. Bollen
Methodological development of the Model-implied Instrumental Variable (MIIV) estimation framework has proved fruitful over the last three decades. Major milestones include Bollen's…
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…
robumeta: An R-package for robust variance estimation in meta-analysis
Zachary Fisher, Elizabeth Tipton
Meta-regression models are commonly used to synthesize and compare effect sizes. Unfortunately, traditional meta-regression methods are ill-equipped to handle the complex and often…