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K. Doku-Amponsah

17 papers hereh-index 8264 citations66 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author8
  • last author9

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.IT8
  • math.PR6
  • stat.ME2
  • stat.CO1
same name
  • K. Doku-Amponsah — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162022
most citedLocal Large deviation: A McMillian Theorem for Coloured Random Graph Processes

2 citations · 3 across the 8 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

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…

cs.IT2020

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…

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