activity
20142016
most citedLost in Space: Geolocation in Event Data

14 citations · 24 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2016★ 14 cited

Lost in Space: Geolocation in Event Data

Sophie J. Lee, Howard Liu, Michael D. Ward

Extracting the "correct" location information from text data, i.e., determining the place of event, has long been a goal for automated text processing. To approximate human-like co…

stat.AP2016★ 8 cited

Inferential Approaches for Network Analyses: AMEN for Latent Factor Models

Shahryar Minhas, Peter D. Hoff, Michael D. Ward

We introduce a Bayesian approach to conduct inferential analyses on dyadic data while accounting for interdependencies between observations through a set of additive and multiplica…

stat.AP2015★ 2 cited

Relax, Tensors Are Here: Dependencies in International Processes

Shahryar Minhas, Peter D. Hoff, Michael D. Ward

Previous models of international conflict have suffered two shortfalls. They tended not to embody dynamic changes, focusing rather on static slices of behavior over time. These mod…

stat.AP2014

Multiple Imputation Using Gaussian Copulas

Florian M. Hollenbach, Iavor Bojinov, Shahryar Minhas +3

Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many schol…

stat.AP2014

Irregular Leadership Changes in 2014: Forecasts using ensemble, split-population duration models

Andreas Beger, Cassy L. Dorff, Michael D. Ward

We forecast Irregular Leadership Changes (ILC)--unexpected leadership changes in contravention of a state's established laws and conventions--for mid-2014 using predictions generat…