Methodology / Methodology

Juraj Medzihorsky, University of Gothenburg

A Comparison of Parametric and Machine Learning Imputation Techniques - Garret Binding, University of Zürich; Thomas Willi, University of Zurich

A Model Free Multiple Imputation Method for Missing Data with the Iterative Singular Value Decomposition (iSVD) Algorithm - Keith T Poole, University of Georgia; Sarah Gail Hunter, University of Colorado Boulder; Jason Jason Anastasopoulos, University of Georgia

Generalized Ideal Point Models for Time-Varying and Missing-Data Inference - Robert Kubinec, New York University Abu Dhabi

What to do When Your Neighbors are Missing: Missing Data and Imputation in Spatial Models - Brett Bessen, University of Colorado Boulder; Srinivas Parinandi, University of Colorado Boulder; Andrew Quayle Philips, University of Colorado Boulder

Juraj Medzihorsky, University of Gothenburg

Taeyong Park, Carnegie Mellon University in Qatar