14 citations · 40 across the 26 of their papers we have counts for
6 papers · 1 filter
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…
On Extreme Value Index Estimation under Random Censoring
Richard Minkah, Tertius de Wet, Kwabena Doku-Amponsah
Extreme value analysis in the presence of censoring is receiving much attention as it has applications in many disciplines, including survival and reliability studies. Estimation o…
Local Large deviations for empirical locality measure of typed Random Graph Models
Kwabena Doku-Amponsah
In this article, we prove a local large deviation principle (LLDP) for the empirical locality measure of typed random networks on nodes conditioned to have a given \emph{ empir…
Local Large deviation: A McMillian Theorem for Coloured Random Graph Processes
Kwabena Doku-Amponsah
For a finite typed graph on nodes and with type law we define the so-called spectral potential of the graph.From the we obtain Kullb…
Local Large Deviations: McMillian Theorem for multitype Galton-Watson Processes
Kwabena Doku-Amponsah
In this article we prove a local large deviation principle (LLDP) for the critical multitype Galton-Watson process from spectral potential point. We define the so-called a spectral…
Lossy Asymptotic Equipartition Property For Geometric Networked Data Structures
Kwabena Doku-Amponsah
This article extends the Generalized Asypmtotic Equipartition Property of Networked Data Structures to cover the Wireless Sensor Network modelled as coloured geometric random graph…