Maxwell Akwasi Boateng
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.
Faculty Biography
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.
Advanced Statistical Process Monitoring
Bayesian Methods and Mixture Models
Economic and Environmental Valuation
Energy Load and Power Forecasting
Financial Risk and Volatility Modeling
Fractional Differential Equations Solutions
Global Peace and Security Dynamics
Insurance, Mortality, Demography, Risk Management
Malaria Research and Control
Statistical Distribution Estimation and Applications
Stock Market Forecasting Methods
Tuberculosis Research and Epidemiology
Bivariate Modelling of Stochastic Features: A Convex Mixture Copula Approach
Open AccessA novel bivariate regression model derived from the clayton copula and the Odd Dagum-G family and its application
Open AccessA Novel Bivariate Regression Model Derived from the Clayton Archimedean Copula and the Odd Dagum-G Family and its Application
Open AccessA Novel Bivariate Regression Model Derived from the Clayton Archimedean Copula and the Odd Dagum-G Family and its Application
Open AccessIdentifying Heterogeneous Preferences for Informal Sector Pension Plans in Ghana Using a Latent Class Discrete Choice Model
Open AccessStochastic Mortality Models with Birth Cohort Effects in Older People: A Systematic Review
Open AccessA geometric solution to political gerrymandering: A modified convex hull approach in ghana's democracy
Open AccessMixture Copula and K-Medoid Modelling of Value-at-Risk
Open AccessHypertension and COVID-19 fractional derivative model with double dose vaccination
Open AccessA Mixture of Clayton, Gumbel, and Frank Copulas: A Complete Dependence Model
Open AccessForecasting Electricity Load of Network Infrastructure Sharing Mobile Sites in Ghana
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
Open AccessBivariate Copula Modeling of Electricity Load, Case Study of Kwame Nkrumah University of Science and Technology
On a Hybrid Clayton-Gumbel and Gumbel-Frank Bivariate Copulas with Application to Stock Indices
Open AccessHybrid Clayton-Frank Convolution-Based Bivariate Archimedean Copula
Open AccessForecasting Mortality Rate of a Ghanaian University Staff Superannuation Scheme
On Two Random Variables and Archimedean Copulas
Open AccessHedging Longevity Risk using Longevity Swaps: A Case Study of the Social Security and National Insurance Trust (SSNIT), Ghana
Survival Analysis of Tuberculosis Patients in Upper West Region of Ghana
Open AccessModeling Stock Market Volatility Using GARCH Approach on the Ghana Stock Exchange
Open AccessVolatility Assessment of Equities on the Ghana Stock Exchange
Open AccessDepartment of Mathematics
Kwame Nkrumah University of Science and Technology