2 citations · 3 across the 7 of their papers we have counts for
5 papers · 1 filter
Large Deviations and Information theory for Sub-Critical SINR Randon Network Models
E. Sakyi-Yeboah, P. S. Andam, L. Asiedu +1
The article obtains large deviation asymptotic for sub-critical communication networks modelled as signal-interference-noise-ratio(SINR) random networks. To achieve this, we define…
Large Deviations, Sharron-McMillan-Breiman Theorem for Super-Critical Telecommunication Networks
E. Sakyi-Yeboah, P. S. Andam, L. Asiedu +1
In this article we obtain large deviation asymptotics for supercritical communication networks modelled as signal-interference-noise ratio networks. To do this, we define the empir…
Large deviations, asymptotic bounds on the number of positive individuals in a Bernoulli sample via the number of positive pool samples drawn on the bernoulli sample
Kwabena Doku-Amponsah
In this paper we define for a Bernoulli samples the \emph{ empirical infection measure}, which counts the number of positives (infections) in the Bernoulli sample and for the \emph…
Large deviation principles for empirical measures of the multitype random networks
K. Doku-Amponsah
In this article we study the stochastic block model also known as the multi-type random networks (MRNs). For the stochastic block model or the MRNs we define the empirical group me…
Joint Large Deviation principle for empirical measures of the d-regular random graphs
U. Ibrahim, A. Lotsi, K. Doku-Amponsah
For a regular random model, we assign to vertices state spins. From this model, we define the \emph{empirical co-operate measure}, which enumerates the number of co-operati…