On Informative Priors and Distribution Shapes in Networks

Incentive models and shapes of temporal curves for migratory patterns of all pairs of countries

Abstract:

In this paper, we introduce a better approach to gravity model used to predict migrant count in fully connected networks of all countries. We then proceed to stratify the pairwise temporal trends, taking advantage of their low span, into the most probable curves and proceed to derive the subsequent part of the curves. This paper serves as feed for a following estimation using Monte-Carlo methods in the upcoming paper.

 

 Data: United Nations World Population Projection (UNWPP)

Model: Pairwise networks, Incentive models, Gravity Models, Distribution Shapes

Keywords: Network, Gravity Model, Incentives, Temporal curves, network strata

 Software:  RStudio, R (programming language)

Next
Next

A Markov Decision Process in a Game of Studies