RM
Richard Minkah
29 Publications12 Research Themes22 Open Access
Research Overview & Focus
The researcher's work focuses on advancing statistical methodologies, particularly extreme value theory and Pareto-type distributions, to address challenges in analyzing heavy-tailed data across diverse fields such as insurance, hydrology, and environmental science. Their research emphasizes developing robust estimators for tail indices under various censoring conditions and missing data scenarios, aiming to provide reliable methods for risk assessment and predictive modeling in these domains.
Key Research Themes (12)
Physical Sciences
Advanced Statistical Methods and Models
Physical Sciences
Bayesian Methods and Mixture Models
Physical Sciences
Benford’s Law and Fraud Detection
Physical Sciences
Face and Expression Recognition
Social Sciences
Financial Risk and Volatility Modeling
Physical Sciences
Groundwater and Isotope Geochemistry
Physical Sciences
Hydrology and Drought Analysis
Physical Sciences
Opinion Dynamics and Social Influence
Social Sciences
Probability and Risk Models
Social Sciences
Spatial and Panel Data Analysis
Physical Sciences
Species Distribution and Climate Change
Physical Sciences
Statistical Distribution Estimation and Applications
Publications (29)
Evaluating the impact of misspecified spatial neighboring structures in Bayesian CAR models
Open AccessA Cost of Misclassification Adjustment Approach for Estimating Optimal Cut-Off Point for Classification
Open AccessA reduced-bias weighted least squares estimation of the extreme value index
Robust extreme quantile estimation for Pareto-type tails through an exponential regression model
Open AccessShrinkage Methods for Estimating the Shape Parameter of the Generalized Pareto Distribution
Open AccessBaseline comparative analysis and review of election forensics: Application to Ghana's 2012 and 2020 presidential elections
Open AccessThe unfolding mystery of the numbers: First and second digits based comparative tests and its application to Ghana’s elections
A Novel Model for Quantitative Risk Assessment under Claim-Size Data with Bimodal and Symmetric Data Modeling
Open AccessA size-of-loss model for the negatively skewed insurance claims data: applications, risk analysis using different methods and statistical forecasting
Open AccessAssessing groundwater quality in peri-urban Accra, Ghana: Implications for drinking and irrigation purposes
Robust Extreme Quantile Estimation for Pareto-Type tails through an Exponential Regression Model
Open AccessBayesian Estimation of Presidential Elections in Ghana: A Validation Approach
Estimation of the Tail Index of Pareto‐Type Distributions Using Regularisation
Open AccessA Reduced-Bias Weighted least square estimation of the Extreme Value Index
Open AccessAn Enhanced Method for Tail Index Estimation under Missingness
Open AccessAssessing the Performance of the Discrete Generalised Pareto Distribution in Modelling Non-Life Insurance Claims
Open AccessRobust estimation of Pareto-type tail index through an exponential regression model
Open AccessRecognition of Augmented Frontal Face Images Using FFT-PCA/SVD Algorithm
Open AccessAssessing the Performance of the Discrete Generalised Pareto Distribution in Modelling Non-Life Insurance Claims
Open AccessTail Index Estimation of the Generalised Pareto Distribution using a Pivot from a Transformed Pareto Distribution
2020Financial Risk and Volatility Modeling
Constant versus Covariate Dependent Threshold in the Peaks-Over Threshold Method
Open AccessOn Extreme Value Index Estimation under Random Censoring
Open AccessA Simulation Comparison of Estimators of Conditional Extreme Value Index under Right Random Censoring
Open AccessA Simulation Comparison of Estimators of Conditional Extreme Value Index\n under Right Random Censoring
Open AccessEndemic grasshopper species distribution in an agro-natural landscape of the Cape Floristic Region, South Africa
Comparison of Confidence Interval Estimators: an Index Approach
Open AccessOn statistics of extremes under random censoring
2016Hydrology and Drought Analysis
An application of extreme value theory to the management of a hydroelectric dam
Open AccessA Markov chain Monte Carlo (MCMC) methodology with bootstrap percentile estimates for predicting presidential election results in Ghana
Open AccessAcademic Metrics
DepartmentDepartment of Statistics and Actuarial Science
Total Publications29
Research Themes12
Open Access Papers22
Department of Statistics and Actuarial Science
Kwame Nkrumah University of Science and Technology