Christopher Odoom

About Me

Christopher Odoom

Christopher odoom
Ph.D. Candidate

University of Massachusetts, Amherst
2024 - Present

My research at UMass Amherst focuses on statistical methods that improve how we estimate relationships in data. I specialize in non-parametric techniques that offer both theoretical rigor and practical applications. With experience in statistical consulting and R programming instruction, I help translate complex analytical concepts into practical solutions. My work has been published in scientific journals and recognized at regional symposiums. I'm interested in applying statistical expertise to interdisciplinary challenges and welcome collaborative opportunities with academic and industry partners.

Check out my projects on GitHub

Projects

Bayesian Simulation: Misspecified Likelihood

May 2024

Simulation comparing distributions and survival curves for different likelihood function specifications using Bayesian approaches including Gibbs and Metropolis Hasting sampling.

Multivariate Analysis of Bike Rental Systems

May 2023

Developed a multivariate multiple linear regression model to understand dynamics in bike rentals and studied effects of non-normal errors on regression inference.

Diabetes Risk Factors Using GAMs

May 2023

Developed a robust Generalized Additive Model to predict diabetes status based on risk factors such as body mass index.

Time Complexity of Conformal Prediction

December 2022

Developed prediction sets for classification problems using full and inductive conformal prediction methods, with Python implementation.

Expected Goals Modeling with Quasi-Poisson

December 2022

Developed a Poisson regression model to understand factors contributing to expected goals in top five soccer leagues including the English Premier League.

Classical vs. Bayesian Regression

October 2022

Comparative study investigating differences between classical and Bayesian regression approaches through simulation.

Publications

Modeling of the daily dynamics in bike rental system using weather and calendar conditions: A semi-parametric approach

Odoom, C., Boateng, A., Mensah, S.F., & Maposa, D.

Scientific African, 24, e02211, 2024

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Beyond GDP: Unraveling the Nexus of Economic Growth, Employment Stability, and Forest Conservation in Sub-Saharan Africa

Odoom, C., Folitse, D., Boateng, A., AlaƱa, L.A.G., & Maposa, D.

Intelligent Computing and Optimization, Springer Nature Switzerland, pp. 580-598, 2024

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Optimizing Binary Classification Performance in Neural Networks Through Simulation: A Comparative Study of Activation Functions

Boateng, A., Aidoo, E.N., Maposa, D., Odoom, C., & Owusu, S.A.

Intelligent Computing and Optimization, Springer Nature Switzerland, pp. 555-568, 2024

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Predictive Analysis of Misuse of Alcohol and Drugs using Machine Learning Algorithms: The Case of using an Imbalanced Dataset from South Africa

Boateng, A., Odoom, C., Mensah, E.T., Fobi, S.M., & Maposa, D.

Applied Mathematics, 17(2), pp. 261-271, 2023

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Contact Me

Feel free to reach out to me for collaboration opportunities, research inquiries, or just to say hello!

University of Massachusetts, Amherst, USA