Follow
Kwabena Doku-Amponsah
Kwabena Doku-Amponsah
Professor of Probability (Stochastic Analysis and Mathematical Statistics) ,University of Ghana
Verified email at ug.edu.gh - Homepage
Title
Cited by
Cited by
Year
Modeling inflation rates and exchange rates in Ghana: application of multivariate GARCH models
ENN Nortey, DD Ngoh, K Doku-Amponsah, K Ofori-Boateng
SpringerPlus 4, 1-10, 2015
382015
Large deviation principles for empirical measures of colored random graphs
K Doku-Amponsah, P Mörters
352010
Large deviations and basic information theory for hierarchical and networked data structures
K Doku-Amponsah
PQDT-UK & Ireland, 2006
302006
Asymptotic equipartition properties for simple hierarchical and networked structures
K Doku-Amponsah
ESAIM: Probability and Statistics 16, 114-138, 2012
272012
Evaluation of the DWT-PCA/SVD recognition algorithm on reconstructed frontal face images
L Asiedu, BO Essah, S Iddi, K Doku-Amponsah, FO Mettle
Journal of Applied Mathematics 2021, 1-8, 2021
112021
Local large deviations: Mcmillian theorem for multitype galton-watson processes
K Doku-Amponsah
arXiv preprint arXiv:1705.09967, 2017
102017
Exponential approximation, method of types for empirical neighbourhood measures of random graphs by random allocation
K Doku-Amponsah
arXiv preprint arXiv:1212.4281, 2012
102012
Modeling the amount of waste generated by households in the greater accra region using artificial neural networks
C Chapman-Wardy, L Asiedu, K Doku-Amponsah, FO Mettle
Journal of Environmental and Public Health 2021, 2021
92021
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, K Doku-Amponsah
Journal of Information and Optimization Sciences 42 (1), 249-273, 2021
92021
Lossy asymptotic equipartition property for networked data structures
K Doku-Amponsah
arXiv preprint arXiv:1609.05252, 2016
82016
Large deviation principle for empirical SINR measure of critical telecommunication networks
E Sakyi-Yeboah, C Kwofie, L Asiedu, K Doku-Amponsah
Journal of Information and Optimization Sciences 42 (1), 287-301, 2021
72021
Lossy Asymptotic Equipartition Property for hierarchical data structures
K Doku-Amponsah
arXiv preprint arXiv:1608.04154, 2016
72016
Statistical model for overdispersed count outcome with many zeros: an approach for marginal inference
S Iddi, K Doku-Amponsah
South African Statistical Journal 50 (2), 313-337, 2016
72016
Moeters. P.(2010). Large deviation principle for empirical measures of coloured random graphs
K Doku-Amponsah
Ann. Appl. Prob. 20 (6), 1089, 2021
52021
Local Large deviation: A McMillian Theorem for Coloured Random Graph Processes
K Doku-Amponsah
arXiv preprint arXiv:1707.01978, 2017
52017
Joint large deviation result for empirical measures of the coloured random geometric graphs
K Doku-Amponsah
SpringerPlus 5 (1), 1140, 2016
52016
Aedes (stegomyia) mosquitoes in the ashanti region of ghana: Implications for yellow fever paucity
RK Esena, FP Amoyaw, K Doku-Amponsah
J. Biol. Agric. Healthc 3, 131-143, 2013
42013
The use of statistical methods to assess groundwater contamination in the Lower Tano river basin, Ghana, West Africa
AKM Edjah, B Banoeng-Yakubo, TT Akiti, K Doku-Amponsah, AA Duah, ...
Environmental Monitoring and Assessment 193, 1-22, 2021
32021
Lossy asymptotic equipartition property for geometric networked data structures
K Doku-Amponsah
Journal of Information and Optimization Sciences 40 (6), 1211-1219, 2019
32019
Characterization of water chemistry in some communities of the Lower Tano river basin, Ghana, West Africa
AKM Edjah, B Banoeng-Yakubo, TT Akiti, B Stenni, G Dreossi, ...
Arabian Journal of Geosciences 12, 1-23, 2019
32019
The system can't perform the operation now. Try again later.
Articles 1–20