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Collins Abaitey

Statistics and Actuarial Science

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About

Collins Abaitey is a lecturer in the Department of Statistics and Actuarial Science. Abaitey holds both Mphil and BSc degrees in Actuarial Science and lectures and supervises undergraduate students research in Actuarial Science.

Research Summary

(inferred from publications by AI)

The researcher's work focuses on integrating complex systems across various domains, including financial markets, economic growth dynamics, and demography, employing advanced mathematical models to understand their interplay in shaping modern societal behaviors.

Research Themes

All Papers

Modelling and forecasting the volatility of bitcoin futures: the role of distributional assumption in GARCH models(2022)
PERFORMANCE OF OPTIMALLY CONTROLLED ECONOMIC GROWTH MODELS WITH GENERALIZED PRODUCTION FUNCTION: THE ROLE OF POPULATION GROWTH DYNAMICS(2023)
Hybrid Deep Learning and Lee-Carter Model for Mortality Forecasting: A Study of US Adults Aged 35-80(2025)

Collaboration Network

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Research Collaboration Map
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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.