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20102026
most citedBayesian latent time joint mixed effect models for multicohort longitudinal data

81 citations

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10 papers · 1 filter

math.PR2023★ 3 cited

Density Analysis for coupled forward-backward SDEs with non-Lipschitz drifts and Applications

Rhoss Likibi Pellat, Olivier Menoukeu Pamen

We explore the existence of a continuous marginal law with respect to the Lebesgue measure for each component of the solution to coupled quadratic forward-backward stocha…

math.PR2021

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…

math.PR2021

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…

math.PR2020★ 1 cited

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…

math.PR2020

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…

math.PR2014

Large deviation result for the empirical locality measure of typed random geometric graphs

Kwabena Doku-Amponsah

In this article for a finite typed random geometric graph we define the empirical locality distribution, which records the number of nodes of a given type linked to a given number…

math.PR2014

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…

math.PR2014

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…

math.PR2013

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…

math.PR2012★ 3 cited

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…