14 citations · 40 across the 26 of their papers we have counts for
28 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…
A Reduced-Bias Weighted least square estimation of the Extreme Value Index
E. Ocran, R. Minkah, K. Doku-Amponsah
In this paper, we propose a reduced-bias estimator of the EVI for Pareto-type tails (heavy-tailed) distributions. This is derived using the weighted least squares method. It is sho…
Large Large deviations for spatial telecommunication systems: The boolean model
A. K. Boahen, T. Katsekpor, K. Doku-Amponsah
Spatial telecommunication systems have evolved along the years, leading to some concerns that telecommunication companies are facing today. The main inquietude is the ability to pr…
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…
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…
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…
Lossy Asymptotic Equipartition property for Networked Data Structures
K. Doku-Amponsah
In this article we prove a Generalized Asypmtotic Equipartition Property for Networked Data Structures modelled as coloured random graphs. The main techniques in this article remai…
Lossy Asymptotic Equipartition property for Hierarchical Data Structures
Kwabena Doku-Amponsah
This paper presents a rate-distortion theory for hierarchical networked data structures modelled as tree-indexed multitype process. To be specific, this paper gives a generalized A…
Large deviation, Basic Information Theory for Wireless Sensor Networks
Kwabena Doku-Amponsah
In this article, we prove Shannon-MacMillan-Breiman Theorem for Wireless Sensor Networks modelled as coloured geometric random graphs. For large we show that a Wireless Sensor…
Statistical model for overdispersed count outcome with many zeros: an approach for direct marginal inference
Samuel Iddi, Kwabena Doku-Amponsah
Marginalized models are in great demand by most researchers in the life sciences particularly in clinical trials, epidemiology, health-economics, surveys and many others since they…
Joint large deviation result for empirical measures of the coloured random geometric graphs
Kwabena Doku-Amponsah
We prove joint large deviation principle for the \emph{ empirical pair measure} and \emph{empirical locality measure} of the \emph{near intermediate} coloured random geometric grap…
Large deviation principle for the empirical degree measure of preferential attachment random graphs
K. Doku-Amponsah, F. O. Mettle, E. N. N. Nortey
We consider preferential attachment random graphs which may be obtained as follows: It starts with a single node. If a new node appears, it is linked by an edge to one or more exis…
Some large deviation results for near intermediate random geometric graphs
Kwabena Doku-Amponsah
We find large deviation principles for the degree distribution and the proportion of isolated vertices for the near intermediate random geometric graph models on n vertices placed…
Large deviations, Basic information theorem for fitness preferential attachment random networks
K. Doku-Amponsah, F. O. Mettle, T. Narh-Ansah
For fitness preferential attachment random networks, we define the empirical degree and pair measure, which counts the number of vertices of a given degree and the number of edges…
Exponential Approximation, Method of types for Empirical Neighbourhood Measures of Random graphs by Random Allocation
K. Doku-Amponsah
In this article we find exponential good approximation of the empirical neigbourhood distribution of symbolled random graphs conditioned to a given empirical symbol distribution an…