Software Packages

mixgauss command estimates the model parameters of latent clusters in mixture of gaussian distributions. It uses the expectation maximization algorithm to find the maximum likelihood estimates. The program employs (1) hierarchical clustering (ward clustering) and (2) k-medians clustering to initialize parameter values in the expectation step, and updates the parameters until convergence in the maximization step. For large datasets, mixgauss command uses hierarchical clustering on 1000 randomly selected observations to initialize k-medians for the entire sample and k-medians to initialize the parameter values for the expectation-maximization algorithm.
Under Review, 2019

Publications

mixgauss command estimates the model parameters of latent clusters in mixture of gaussian distributions. It uses the expectation …

Leaders consider the broader international landscape when making foreign policy choices. This landscape could encompass a single …

Is democratization good for peace? The question of whether democratization results in violence has led to a spirited and productive …

Using the debate over democratization and conflict, we demonstrate how the connection between conceptualization and operationalization …

The link between foreign aid and military conflict has received little attention in both aid effectiveness and interstate conflict …

The political resource curse – the detrimental effect of natural resource dependence on democracy – is a well-established correlate of …

Can capitalism promote peace among nations? For many this might seem like an odd proposition, given the strong traditional view in the …

We appreciate the chance to respond to Dafoe and Russett’s (henceforth DR) reaction to our chapter and the challenge to the democratic …

Teaching

7001: Foreign Policy Analysis: A Case Based Approach to Strategic Analysis

A Case Based Approach to Foreign Policy Analysis using Game Theoretical and Predictive Models

7027: Qualitative and Quantitative Research Methods

A Course on Qualitative and Quantitative Research Design

Contact

  • omerorsun@nyu.edu
  • New York University Abu Dhabi (NYUAD)
    Omer Faruk Orsun, A5-1168A
    UAE: PO Box 129188 Abu Dhabi, UAE
    USA: PO Box 903 New York, NY 10276-0903, USA
  • Sunday 13:00 to 14:00
    Monday 9:00 to 11:00
    Wednesday 14:00 to 16:00
    Otherwise email to book an appointment