An Informed Forensics Approach to Detecting Vote Irregularities

By J. Montgomery, Santiago Olivella, Joshua D. Potter, Brian F. Crisp. 2015

33 citations recorded by the source corpus.

Subfields: Political Science and International Relations, Sociology and Political Science, Statistics and Probability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Sociology and Political Science

1. Rafael Valle
2. Jason Poulos

In Statistics and Probability

1. Rafael Valle
2. Jason Poulos

Citations in the corpus

• Missing Data Imputation for Supervised Learning (2016, background): “…attractive methodology and proven to be effective in social science applications, such as studies of international and civil conflict (Beck et al., 2000; De Marchi et al., 2004; Hill and Jones, 2014; Muchlinski et al., 2016) and election fraud (Cant´u and Saiegh, 2011; Montgomery et al., 2015).”