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Maxwell Akwasi Boateng

Mathematics

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About

Maxwell Akwasi Boateng holds a PhD in Mathematical Statistics, an MPhil in Mathematical Statistics and a BSc. in Mathematics from the Kwame Nkrumah University of Science and Technology (KNUST) Kumasi, Ghana.His research areas include Mathematical Statistics, specifically in Probability Theory, Statistical Modelling (Multivariate Analysis, Time series modelling, Longitudinal data analysis etc) and Measure Theory and Integration. He has served as a reviewer for over 40 articles and has a number of publications in refereed journals.He teaches mainly, Fundamental Algebra and Calculus, Differential and Integral Calculus, Probability, Statistics and Stochastic Processes, Computational Mathematics, Discrete Mathematics (Structures), Numerical methods and Optimization.He also has collaborations with scientists from Engineering, Biology and other interdisciplinary sciences.

Research Summary

(inferred from publications by AI)

The researcher has developed a unified statistical research framework that integrates copula models to address challenges in diverse fields across several domains. Their work spans topics ranging from health sciences (malaria control and public health interventions) to social sciences (financial risk modeling, mortality forecasting, demographic analysis), physical sciences (energy load prediction and environmental studies), statistical distribution estimation, actuarial science, and more. Central to their methodology is the application of copula-based models across these themes, demonstrating a coherent approach to dependency modeling in complex systems across health, finance, energy, and social sciences.

Research Themes

All Papers

Analysis of Haematological Parameters as Predictors of Malaria Infection Using a Logistic Regression Model: A Case Study of a Hospital in the Ashanti Region of Ghana(2019)
A Mixture of Clayton, Gumbel, and Frank Copulas: A Complete Dependence Model(2022)
Volatility Assessment of Equities on the Ghana Stock Exchange(2015)
Hybrid Clayton-Frank Convolution-Based Bivariate Archimedean Copula(2018)
On Two Random Variables and Archimedean Copulas(2017)
On a Hybrid Clayton-Gumbel and Gumbel-Frank Bivariate Copulas with Application to Stock Indices(2018)
Forecasting Electricity Load of Network Infrastructure Sharing Mobile Sites in Ghana(2021)
Bivariate Copula Modeling of Electricity Load, Case Study of Kwame Nkrumah University of Science and Technology(2019)
A novel bivariate regression model derived from the clayton copula and the Odd Dagum-G family and its application(2025)
A Novel Bivariate Regression Model Derived from the Clayton Archimedean Copula and the Odd Dagum-G Family and its Application(2025)
Modeling Stock Market Volatility Using GARCH Approach on the Ghana Stock Exchange(2015)
Survival Analysis of Tuberculosis Patients in Upper West Region of Ghana(2016)
Hedging Longevity Risk using Longevity Swaps: A Case Study of the Social Security and National Insurance Trust (SSNIT), Ghana(2016)
Forecasting Mortality Rate of a Ghanaian University Staff Superannuation Scheme(2017)
Stochastic Mortality Models with Birth Cohort Effects in Older People: A Systematic Review(2024)
Hypertension and COVID-19 fractional derivative model with double dose vaccination(2023)
A geometric solution to political gerrymandering: A modified convex hull approach in ghana's democracy(2024)
Mixture Copula and K-Medoid Modelling of Value-at-Risk(2024)
Identifying Heterogeneous Preferences for Informal Sector Pension Plans in Ghana Using a Latent Class Discrete Choice Model(2025)
Bivariate Modelling of Stochastic Features: A Convex Mixture Copula Approach(2025)

Collaboration Network

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About This Profile

This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.