2 citations · 3 across the 7 of their papers we have counts for
11 papers
Estimation of the tail index of Pareto-type distributions using regularisation
E. Ocran, R. Minkah, G. Kallah-Dagadu +1
In this paper, we introduce reduced-bias estimators for the estimation of the tail index of a Pareto-type distribution. This is achieved through the use of a regularised weighted l…
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 Principle for Empirical SINR Measure of Critical Telecommunication Networks
Enoch Sakyi-Yeboah, Charles Kwofie, Kwabena Doku-Amponsah
For a \emph{ powered Poisson process}, we define \emph{Signal-to-Interference-plus-Noise Ratio}(SINR) and thesinr network as a Telecommunication Network. We define the Empirical Me…
Local Large Deviation Principle, Large Deviation Principle and Information theory for the Signal -to- Interference -Plus- Noise Ratio Graph Models
E. Sakyi-Yeboah, L. Asiedu, Kwabena Doku-Amponsah
Given devices space , an intensity measure , a transition kernel from the space to positive real numbers a path-loss function (which depend…