Modeling association in microbial communities with clique loglinear models

Knowledge Presentation and Reasoning with Loglinear Models

Veska Noncheva, Nuno Marques Abstract: Our approach for knowledge presentation is based on the idea of expert system shell. At first we will build a graph shell of both possible dependencies and possible actions. Then, reasoning by means of Loglinear models, we will activate some nodes and some directed links. In this way a Bayesian network and networks presenting loglinear models are generated.

Negative Binomial Loglinear Mixed Models

on some bayesian statistical models in actuarial science with emphasis on claim count

چکیده ندارد.

Spatial scan statistics in loglinear models

The likelihood ratio spatial scan statistic has been widely used in spatial disease surveillance and spatial cluster detection applications. In order to better understand cluster mechanisms, an equivalent model-based approach is proposed to the spatial scan statistic that unifies currently loosely coupled methods for including ecological covariates in the spatial scan test. In addition, the uti...

CT 2.3.2 Bi-clique Communities

We present a method for detecting communities in bipartite networks. Based on an extension of the k-clique community detection algorithm suggested by Palla et al. [1], we demonstrate how modular structure in bipartite networks presents itself as overlapping bicliques. The talk is based work discussed in Ref [2]. Bipartite networks are ubiquitous A bipartite network is a network whose nodes is n...