Ernest Fokoue Headshot

Ernest Fokoue

School of Mathematical Sciences
College of Science

Office Location

Ernest Fokoue

School of Mathematical Sciences
College of Science


I have been around Mathematical Sciences from my very early childhood, and I have always greatly enjoyed the beauty and power that mathematics affords to problem solving. Statistical Science in particular and specifically Statistical Machine Learning and Data Science are my passion, my profession and to some extent my vocation. The flexibility and power of probabilistic reasoning along with the richness and vast applicability of statistical models both fascinate and enthuse me immensely. My mission as a professor of statistical science is to generously, joyfully and rigorously share the full extent of my knowledge and expertise in this exciting field with the ultimate goal of empowering all the students that God graciously sends my way. Indeed, I always envision my students acquiring state-of-the-art knowledge in statistical science and ultimately developing into world class experts and pioneers.


Currently Teaching

3 Credits
This course covers topics such as clustering, classification and regression trees, multiple linear regression under various conditions, logistic regression, PCA and kernel PCA, model-based clustering via mixture of gaussians, spectral clustering, text mining, neural networks, support vector machines, multidimensional scaling, variable selection, model selection, k-means clustering, k-nearest neighbors classifiers, statistical tools for modern machine learning and data mining, naïve Bayes classifiers, variance reduction methods (bagging) and ensemble methods for predictive optimality.
0 - 9 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.

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Journal Paper
Corsetti, Matthew and Ernest Fokoue. "Nonnegative Matrix Factorization With Zellner Penalty." Open Journal of Statistics 5. 7 (2015): 777-786. Web.
Liu, Bohan and Ernest Fokoue. "Random Subspace Learning Approach to High-Dimensional Outliers Detection." Open Journal of Statistics 5. 6 (2015): 618-630. Web.
Yu, Xingchen and Ernest Fokoue. "Probit Normal Correlated Topic Model." Open Journal of Statistics 4. 11 (2014): 879-888. Web.
Fokoue, Ernest. "A Taxonomy Of Big Data For Optimal Predictive Machine Learning And Data Mining." Serdica Journal of Computing. (2014): 111-136. Print.
Bill, Jo and Ernest Fokoue. "A Comparative Analysis Of Predictive Learning Algorithms On High-Dimensional Microarray Cancer Data." Serdica Journal of Computing. (2014): 137-168. Print.
Ma, Zichen and Ernest Fokoue. "Accent Recognition for Noisy Audio Signals." Serdica Journal of Computing. (2014): 169-182. Print.
Ma, Zichen and Ernest Fokoue. "A Comparison Of Classifiers In Performing Speaker Accent Recognition Using MFCCs." Open Journal of Statistics 4. 4 (2014): 258-266. Web.
Fokoue, Ernest. "Stable Radial Basis Function Selection via Mixture Modelling of the Sample Path." Journal of Data Science 9. 3 (2011): 345-358. Web.
Fokoue, Ernest, Dongchu Sun, and Prem Goel. "Fully Bayesian Analysis of the Relevance Vector Machine With Extended Prior." Statistical Methodology 8. (2011): 83-96. Print.
Fokoue, Ernest and Prem Goel. "An Optimal Experimental Design Perspective on Radial Basis Function Regression." Communications in Statistics: Theory and Methods 40. 6 (2011): 1-12. Print.
Fokoue, Ernest and Bertrand Clarke. "Bias-Variance Trade-off for Prequential Model List Selection." Statistical Papers 52. 4 (2011): 813-833. Print.
Fokoue, Ernest. "Beta Induced Sparsity Algorithm." Advanced and Applications in Statistical Science. (2011): 1-4. Web.
Book Chapter
Dey, Tanujit and Ernest Fokoue. "“Bayesian Variable Selection For Predictively Optimal Regression." Current Trends in Bayesian Methodology with Applications. Ed. Dipak K, Umesh Singh and A. Loganathan. New York, New York: Chapman and Hall, 2015. Print.