A spatial model incorporating dynamic, endogenous network interdependence: A political science application

By Jude C. Hays, A. Kachi, R. Franzese. 2010

122 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/56c318b45dbca97ff7e040b6097e68c3e8b73d78

How researchers see this paper

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

1. Chandra R. Bhat
2. Stephane Hess
3. Kenneth Train
4. Abdul Rawoof Pinjari
5. Sabreena Anowar
6. Naveen Eluru
7. David A. Hensher
8. William H. Greene

Citations in the corpus

• The Composite Marginal Likelihood (CML) Inference Approach with Applications to Discrete and Mixed Dependent Variable Models (2014, background): “…of continuous dependent variables to the linear (latent) propensity variables underlying discrete choice dependent variables (see reviews of this literature in Fleming, 2004, Franzese and Hays, 2008, LeSage and Pace, 2009, Hays et al. 2010, Brady and Irwin, 2011, and Sidharthan and Bhat, 2012).”