Dr. Edgard Maboudou

Associate Professor

University of Central Florida
Department of Statistics
Technology Commons II, Room 107
Phone: (407) 823-5532
Fax: (407) 823-3930
Email: edgard.maboudou@ucf.edu

Biographical Information


Education

Ph. D. in Statistics 2006; University of Minnesota, Twin Cities, Minnesota

M. Sc. in Statistics 2003; University of Minnesota, Twin Cities, Minnesota

B. S. in Mechanical Engineering 1992; University of Benin, Lome, Togo

Research Interests

Publications and Manuscripts

  • Edgard M. Maboudou-Tchao, “Kernel Methods for Changes Detection in Covariance Matrices” In publication in Communications in Statistics – Simulation and Computation. http://dx.doi.org/10.1080/03610918.2017.1322701
  • Nicholas Paperno, Michael. Rupp, Edgard Maboudou, Janan Smither, and Aman Behal, (2016), “A Predictive Model for Use of an Assistive Robotic Manipulator: Human Factors Versus Performance in Pick-and-Place/Retrieval Tasks” IEEE Transactions on Human-Machine Systems (THMS), Vol. 46, 6, 846 – 858, Dec. 2016.
  • Edgard M. Maboudou-Tchao, Ivair Silva, and Norou Diawara, (2016) “Monitoring the mean vector with Mahalanobis kernels” Quality Technology and Quantitative Management (QTQM), DOI: 10.1080/16843703.2016.1226707, http://dx.doi.org/10.1080/16843703.2016.1226707
  • Norou Diawara, S. H. Sathish Indika, and Edgard M. Maboudou-Tchao, “The Bivariate Erlang and its Application in Modeling Recurrence Times of Kidney Dialysis Data”, International Journal of Statistics in Medical Research. Vol. 3 (2), pp. 88-93, 2014
  • Douglas M. Hawkins and Edgard M. Maboudou-Tchao, “Smoothed Linear Modeling for Smooth Spectral Data ”, International Journal of Spectroscopy , vol. 2013, Article ID 604548, 8 pages
  • Edgard M. Maboudou-Tchao, and Ivair Silva, “Tests for the Mean Vectors in High Dimension”,
    Statistical Analysis and Data Mining (SADM). Special Issue JSM 2012, Vol. 6 (6), pp. 578 – 598, 2013
  • Weiwu Pang, Yu-Cheng Liu, and Edgard M. Maboudou-Tchao, “Metoclopramide Improves Quality of Tramadol PCA Indistinguishable to Morphine PCA”,
    journal of the American Academy of Pain Medicine , vol. 14 (9) pp 1426 – 1434, 2013
  • Edgard M. Maboudou-Tchao, and Douglas M. Hawkins, “Detection of Multiple Change-Point for Multivariate Data ”,
    Journal of Applied Statistics , Vol. 40 (9), pp. 1979 – 1995, 2013.
  • Edgard M. Maboudou-Tchao, Ivair Silva, and Jeremiah Perez, “Testing the Mean Vector of a Population in High Dimension ”,
    Proceedings of the Joint Statistical Meetings 2012, Section on Statistical Learning and Data Mining, , pp 2962-2977
  • Norou Diawara, S. H. Sathish Indika, and Edgard M. Maboudou-Tchao , (2013), “The Distribution of the Sum of Independent Product of Bernoulli and Exponential”,
    American Journal of Mathematics and Mathematical Sciences (AJMMS) , 32 (1) pp 75 – 89, 2013.
  • Edgard M. Maboudou-Tchao, and Vincent Agboto (2013), “Monitoring the Covariance Matrix with Fewer Observations than Variables”,
    Computational Statistics and Data Analysis (CSDA) , vol. 64, 99-112, 2013.
  • Edgard M. Maboudou-Tchao, and Norou Diawara (2013), “A LASSO Chart for Monitoring the Covariance Matrix ”,
    Quality Technology and Quantitative Management (QTQM),, 10 (1), 95-114, 2013.
  • Edgard M. Maboudou-Tchao, and Douglas M. Hawkins, (2011), “Self-Starting Multivariate Control Charts for Location and Scale ”,
    Journal of Quality Technology, 43 (2) 113-126, 2011.
  • Modisett, M., and Edgard M. Maboudou-Tchao, (2010), “Significantly Lower Estimates of Volatility Arise from the Use of Open-High-Low-Close Price Data ”,
    NAAJ, vol 14, N 1, 68-85, 2010.
  • Edgard M. Maboudou-Tchao, and Hawkins, D. M., (2009), “Fitting Multiple Change-Point Models to a Multivariate Gaussian Model”,
    2009 Proceedings of International Workshop Sequential methodologies .
  • Edgard M. Maboudou-Tchao (2009), “Algorithm for Sequential Estimation of the Covariance Matrix and some Applications ”,
    2009 Proceedings of International Workshop Sequential methodologies.
  • Edgard M. Maboudou-Tchao (2009), “Multivariate Control Chart for Monitoring the Covariance Matrix”,
    2009 Proceedings of New Researchers Conference .
  • Douglas M. Hawkins, and Edgard M. Maboudou-Tchao (2008), “Multivariate Exponentially Weighted Moving Covariance Matrix”,
    Technometrics, vol. 50, N 2, 2008, pp 155-166
  • Douglas M. Hawkins, and Edgard M. Maboudou-Tchao (2007), “Self-Starting Multivariate Exponentially Weighted Moving Average Control Charting”,
    Technometrics, vol. 49, N 2, 2007, pp 199-209