School of Mathematical Sciences
2517 Hugh L. Carey Hall
RIT College of Science
85 Lomb Memorial Drive
Rochester, NY 14623
United States
Office Location: HLC 14-2517
Office Phone: (585) 475-7525
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Rochester Institute of Technology College of Science
Education
Ph.D. in Statistics
University of Glasgow (2001)
Under the supervision of Professor Mike Titterington
Master of Science in Neural Computation
Aston University, Birmingham, UK (1998)
Under a British Government Scholarship
Research Interests
Statistical Machine Learning
Bayesian Statistics
Computational Statistics
Statistical Data Mining
Publications
Fokoué, E.. 2016. Unsupervised Learning. Wiley Stats Ref: Statistics Reference Online. Wiley Stats Ref: Statistics Reference Online.
Fokoué, E.. 2016. Kernel Regression. Wires Computational Statistics. Wires Computational Statistics.
Fokoué, E.. 2016. A Taxonomy Of Massive Data For Data Mining. Wires Data Mining And Knowledge Discovery. Wires Data Mining And Knowledge Discovery.
Corsetti, M., and E. Fokoué. 2015. Nonnegative Matrix Factorization With Zellner Penalty. Open Journal Of Statistics 5. Open Journal Of Statistics: xxx-xxx.
Qahl, S., and E. Fokoué. 2015. A Text Mining Approach To Measuring Sacred Texts Similarity. Open Journal Of Statistics 5. Open Journal Of Statistics: xxx-xxx.
Elshrif, M., and E. Fokoué. 2015. Adaptive Random Subspace Learning (Rssl) Algorithm For Prediction. Arxiv E-Prints, Number 1502. Arxiv E-Prints, Number.
Dey, T., and E. Fokoué. 2015. Bayesian Variable Selection For Predictively Optimal Regression Current Trends in Bayesian Methodology with Applications, Editors, Dipak K, Umesh Singh and A. Loganathan.
Liu, B., and E. Fokoué. 2015. Random Subspace Learning Approach To High-Dimensional Outliers Detection. Arxiv E-Prints, Number 1502. Arxiv E-Prints, Number.
Liu, B., and E. Fokoué. 2015. Random Subspace Learning Approach To High-Dimensional Outliers Detection. Open Journal Of Statistics 5. Open Journal Of Statistics: 2015.
Ma, Z., and E. Fokoué. 2014. Accent Recognition For Noisy Audio Signals. Serdica Journal Of Computing 8. Serdica Journal Of Computing: 169-182.
Bill, J., and E. Fokoué. 2014. A Comparative Analysis Of Predictive Learning Algorithms On High-Dimensional Microarray Cancer Data. Serdica Journal Of Computing 8. Serdica Journal Of Computing: 137-168.
Fokoué, E.. 2014. A Taxonomy Of Big Data For Optimal Predictive Machine Learning And Data Mining. Serdica Journal Of Computing 8. Serdica Journal Of Computing: 111-136.
Ma, Z., and E. Fokoué. 2014. A Comparison Of Classifiers In Performing Speaker Accent Recognition Using Mfccs. Open Journal Of Statistics 4. Open Journal Of Statistics.
Yu, X., and E. Fokoué. 2014. Probit Normal Correlated Topic Models. Open Journal Of Statistics 4. Open Journal Of Statistics.
Fokoué, E.. 2012. Beta Induced Sparsity Algorithm. Advances And Applications In Statistical Sciences 7. Advances And Applications In Statistical Sciences: 75-82.
Fokoué, E., D. Sun, and P. Goel. 2011. Fully Bayesian Analysis Of The Relevance Vector Machine With Extended Prior. Statistical Methodology 8. Statistical Methodology: 83-96.
Fokoué, E.. 2011. Stable Radial Basis Function Selection Via Mixture Modelling Of The Sample Path. Journal Of Data Science 9. Journal Of Data Science: 345-358.
Fokoué, E., and P. Goel. 2011. An Optimal Experimental Design Perspective On Radial Basis Function Regression. Communications In Statistics: Theory And Methods 40. Communications In Statistics: Theory And Methods: 1-12.
Fokoué, E.. 2009. Latent Variable Models In Heterogeneous Spaces For Observations Of Mixed Types. Communications In Statistics - Theory And Methods. 38. Communications In Statistics - Theory And Methods.: 2009.
Fokoué, E.. 2009. Bayesian Computation Of The Intrinsic Structure Of Factor Analytic Models. Journal Of Data Science 7. Journal Of Data Science: 285-311.
Fokoué, E.. 2008. Foundational Aspects Of The Theory Of Statistical Function Estimation And Pattern Recognition. Bulletin Of Pfur, Series Mathematics, Information Sciences, Physics. 3. Bulletin Of Pfur, Series Mathematics, Information Sciences, Physics.: 2008.
Fokoué, E.. 2007. Estimation Of Atom Prevalence For Optimal Prediction. Contemporary Mathematics. 443. Contemporary Mathematics.: 103-129.
Fokoué, E.. 2004. Mixtures Of Factor Analysers: An Extension With Covariates. Journal Of Multivariate Analysis 95. Journal Of Multivariate Analysis: 370-384.
Csato, L., E. Fokoué, M. Opper, B. Schottky, and O. Winther. 2000. Efficient Approaches To Gaussian Process Classification. Advances In Neural Information Processing Systems 12. Advances In Neural Information Processing Systems 12.
Fokoué, E., and N. Gunduz. 2015. An Information-Theoretical Alternative To The Cronbach's Alpha Coefficient Of Item Reliability. Center for Quality and Applied Statistics, Rochester Institute of Technology.
Fokoué, E.. 2014. Prediction Error Reduction Function (Perf): Finding The Most Valuable Predictor (Mvp). Data Science Research Group, Center for Quality and Applied Statistics, Rochester Institute of Technology.
Fokoué, E.. 2014. Harnessing The Predictive Potential Of K-Nearest Neighbors Machines. Data Science Research Group, Center for Quality and Applied Statistics, Rochester Institute of Technology.
Fokoué, E.. 2014. Efficient Diagonal Orthant Multicategorical Classification With Application To Dna Microarray Gene Expression Data. Data Science Research Group, Center for Quality and Applied Statistics, Rochester Institute of Technology.
Fokoué, E.. 2014. A Spectral Regression For Large P Small N Data. Data Science Research Group, Center for Quality and Applied Statistics, Rochester Institute of Technology.
Elshriff, M., and E. Fokoué. 2014. Adaptive Random Subspace Learning For Optimal Predictive Ensembles. Data Science Research Group, Center for Quality and Applied Statistics, Rochester Institute of Technology.
Gunduz, N., and E. Fokoué. 2014. Predictive Performance Comparison Of Robust Classifiers On Epsilon-Contaminated High Dimension Low Sample Size Data. Data Science Research Group, Center for Quality and Applied Statistics, Rochester Institute of Technology.
Yu, X., and E. Fokoué. 2014. Probit Normal Correlated Topic Models. Data Science Research Group, Center for Quality and Applied Statistics, Rochester Institute of Technology.
Ly, V., and E. Fokoué. 2014. Frequentist Approximation Of The Bayesian Posterior Inclusion Probability By Stochastic Subsampling. Data Science Research Group, Center for Quality and Applied Statistics, Rochester Institute of Technology. http://goo.gl/C8U5Q4.
Gunduz, N., and E. Fokoué. 2013. Data Mining And Machine Learning Techniques For Extracting Patterns In Students Evaluations Of Instructors. Data Science Research Group, Center for Quality and Applied Statistics, Rochester Institute of Technology. http:// goo.gl/JW8eui.
Fokoué, E.. 2013. A Taxonomy Of Massive Data For Optimal Predictive Machine Learning And Data Mining. Data Science Research Group, Center for Quality and Applied Statistics, Rochester Institute of Technology. http://goo.gl/XbKUhr.
Ma, Z., and E. Fokoué. 2013. Modern Multivariate Methods For Accurate Dialect Classification. Data Science Research Group, Center for Quality and Applied Statistics, Rochester Institute of Technology.
Ma, Z., and E. Fokoué. 2013. Speaker Gender Recognition Via Mfccs And Svms. Data Science Research Group, Center for Quality and Applied Statistics, Rochester Institute of Technology.
Foehrenbach, D., and E. Fokoué. 2013. A Statistical Data Mining Approach To Determining The Factors That Distinguish Championship Caliber Teams In The National Football League. Data Science Research Group, Center for Quality and Applied Statistics, Rochester Institute of Technology.
Gunduz, N., and E. Fokoué. 2013. On The Predictive Analytics Of The Probit And Logit Link Functions. Data Science Research Group, Center for Quality and Applied Statistics, Rochester Institute of Technology. http://goo.gl/PwtNpu.
Fokoué, E.. 2011. Optimal Predictive Kernel Regression Via Feature Space Principal Components. Data Science Research Group, Center for Quality and Applied Statistics, Rochester Institute of Technology.
Fokoué, E., P. Goel, and D. Sun. 2004. A Prior For Consistent Estimation For The Relevance Vector Machine. Statistical and Applied Mathematical Sciences Institute, Research Triangle Park, NC 27709, USA.
Fokoué, E.. 2004. Stochastic Determination Of The Intrinsic Structure In Bayesian Factor Analysis. Statistical and Applied Mathematical Sciences Institute, Research Triangle Park, NC 27709, USA.
Fokoué, E., and B. Clarke. 2004. Optimum Model List Selection For Prediction. Statistical and Applied Mathematical Sciences Institute, Research Triangle Park, NC 27709, USA.
Clarke, B., E. Fokoué, and H. Zhao. 2009. Principles And Theory For Data Mining And Machine Learning . Graduate Texts In Statistics. Graduate Texts In Statistics. New York, New York, USA: Springer Verlag.
Foehrenbach, D., and E. Fokoué. 2011. On The Optimal Prediction Of Team Performance In The Nfl. In Proceedings Of The Joint Statistical Meetings (Jsm). Proceedings Of The Joint Statistical Meetings (Jsm). Florida, USA, August 2011: American Statistical Association.
Fokoué, E.. 2009. Efficient Derivation Of Sparse Representations In Radial Basis Function Regression. In Proceedings On The 59Th Conference Of The International Statistical Institute, Durban, South Africa, 2009. Vol. 59. Proceedings On The 59Th Conference Of The International Statistical Institute, Durban, South Africa, 2009.
Fokoué, E., and B. Clarke. 2004. Optimal Model List Selection For Function Approximation. In Proceedings Of Interface 2004. Proceedings Of Interface 2004.
Fokoué, E.. 2000. A Markov Chain Monte Carlo (Mcmc) Approach To The Bayesian Analysis Of Mixtures Of Factor Analysers. In Proceedings Of Computational Statistics. Volume Of Short Communications And Posters. Proceedings Of Computational Statistics. Volume Of Short Communications And Posters. COMPSTAT 2000, Utrecht University and Statistics Netherlands, 2000.
Honors and Awards
Research Students and Postdoctoral Associates