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Analysis of Partially Observed Networks via Exponential-family Random Network Models
Analysis Partially Observed Networks via Exponential-family Random Network Models
2013/4/27
Exponential-family random network (ERN) models specify a joint representation of both the dyads of a network and nodal characteristics. This class of models allow the nodal characteristics to be model...
Random graphs, where the connections between nodes are considered random variables, have wide applicability in the social sciences. Exponential-family Random Graph Models (ERGM) have shown themselves ...
Maximum Likelihood Estimation in Network Models
beta model polytope of degree sequences random graphs Rasch model p1 model
2011/6/20
We study maximum likelihood estimation for the statistical model for both directed and undirected
random graph models in which the degree sequences areminimal sufficient statistics. In the undirected...
Robust Collective Classification with Contextual Dependency Network Models
Robust Collective Classification Contextual Dependency Network Models
2010/12/16
Abstract. In order to exploit the dependencies in relational data to improve predictions,
relational classification models often need to make simultaneous statistical
judgments about the class label...
Learning Contextual Dependency Network Models for Link-Based Classification
Network Models Link-Based Classification
2010/12/15
Links among objects contain rich semantics that can be very helpful in classifying the objects. However, many irrelevant links can be found in real-world link data such as Web pages. Often, these nois...
Multiple criteria network models for project management
network modeling agricultural project management multi criteria programming compromise critical path resource management Excel
2014/3/24
The aim of the paper is to present one possibility of how to model and solve a resource oriented critical path problem. As a starting point, a single criteria model for critical path finding is shortl...