Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Amponsah, Kwabena"'
Autor:
Ayagama, Thamali, Charles, Philip D., Bose, Samuel J., Boland, Barry, Priestman, David A., Aston, Daniel, Berridge, Georgina, Fischer, Roman, Cribbs, Adam P., Song, Qianqian, Mirams, Gary R., Amponsah, Kwabena, Heather, Lisa, Galione, Antony, Herring, Neil, Kramer, Holger, Capel, Rebecca A., Platt, Frances M., Schotten, Ulrich, Verheule, Sander, Burton, Rebecca A.B.
Publikováno v:
In iScience 21 June 2024 27(6)
Autor:
Doku-Amponsah, Kwabena
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{ pool samples} we define the empirical pool infection measure, which
Externí odkaz:
http://arxiv.org/abs/2008.02151
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 Measures (\emph{empirical powered measure}, \emph{empirical link measure
Externí odkaz:
http://arxiv.org/abs/2005.05165
Given devices space $D$, an intensity measure $\lambda m\in(0,\infty)$, a transition kernel $Q$ from the space $D$ to positive real numbers $(0,\infty,$ a path-loss function (which depends on the Euclidean distance between the devices and a positive
Externí odkaz:
http://arxiv.org/abs/1909.04529
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 of extreme value index (EVI) is of primary importance as it is a critic
Externí odkaz:
http://arxiv.org/abs/1709.08720
Autor:
Doku-Amponsah, Kwabena
In this article, we prove a local large deviation principle (LLDP) for the empirical locality measure of typed random networks on $n$ nodes conditioned to have a given \emph{ empirical type measure} and \emph{ empirical link measure.} From the LLDP,
Externí odkaz:
http://arxiv.org/abs/1708.03895
Autor:
Doku-Amponsah, Kwabena
Publikováno v:
Journal of Mathematics and Statistics 13(4) (2017) 347-352
For a finite typed graph on $n$ nodes and with type law $\mu,$ we define the so-called spectral potential $\rho_{\lambda}(\,\cdot,\,\mu),$ of the graph.From the $\rho_{\lambda}(\,\cdot,\,\mu)$ we obtain Kullback action or the deviation function, $\ma
Externí odkaz:
http://arxiv.org/abs/1707.01978
Autor:
Doku-Amponsah, Kwabena
Publikováno v:
Far East J. MATH. SC., Vol. 102, Number 10. 2017, Pages 2307-2319
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 potential $U_{\skrik}(\,\cdot,\,\pi)$ for the Galton-Watson process,
Externí odkaz:
http://arxiv.org/abs/1705.09967
Autor:
Doku-Amponsah, Kwabena
Publikováno v:
Journal of Information and Optimization Sciences, 40(6), 1211-1219,2019
This article extends the Generalized Asypmtotic Equipartition Property of Networked Data Structures to cover the Wireless Sensor Network modelled as coloured geometric random graph (CGRG). The main techniques used to prove this result remains large d
Externí odkaz:
http://arxiv.org/abs/1704.00243
Autor:
Doku-Amponsah, Kwabena
Publikováno v:
Far East Journal of Mathematical Sciences 101(5), 2017,pp. 1013-1024
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 Asymptotic Equipartition Property (AEP) for the Process. The general me
Externí odkaz:
http://arxiv.org/abs/1608.04154