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College of Sciences & Technology

MS Faculty - Dexter Cahoy

Dexter Cahoy

Associate Professor

Office: S750

cahoyd@uhd.edu

My initial educational focus was on mathematical statistics and probability theory. As data became bigger and more available, I began exploring advanced mathematical tools and concepts that can be used to extract information from data. I also had the opportunity to apply those tools in mostly engineering and medical fields. The fundamental core of my teaching philosophy is active learning wherein students are the main participants in the learning process. As an instructor, my goal is to facilitate learning by using my expertise to transform classroom knowledge to resources needed to help students answer questions or solve problems better and become catalysts for progress in their respective communities.

My research focuses on developing efficient solutions to existing statistical problems that are directly applicable in practice.  I will continually involve students in my research projects. Furthermore, I have published my scientific contributions in several journals (statistical or domain-specific) and will continue to do so whenever possible.  


  • Ph.D. in Statistics, Case Western Reserve University
  • MS in Statistics, University of Alberta
  • MS in Applied Mathematical Sciences, University of Science and Technology of Southern Philippines
  • BS in Statistics, Mindanao State University - Iligan


  • 2017- Present: Associate Professor, Department of Mathematics and Statistics, University of Houston-Downtown
  • 2015-2017: Coordinator, Statistical Consulting Lab, Louisiana Tech University
  • 2013-2017: Associate Professor (tenured), Department of Mathematics and Statistics, Louisiana Tech University
  • 2007-2013: Assistant Professor, Department of Mathematics and Statistics, Louisiana Tech University
  • Summers '05 &'06: Instructor, Department of Statistics, Case Western Reserve University
  • Summers '03 &'04: Statistician, Ability-Based Learning Center, Case Western Reserve University
  • 2003-2007: Graduate Teaching Assistant, Case Western Reserve University
  • 2001-2003: Graduate Teaching Assistant, University of Alberta
  • 1998-2001: Lecturer, University of Science and Technology of Southern Philippines
  • 1996-1997: Instructor, Capitol University, Philippines

Research and Academic Interests

My main research interest lies in the development of sound data science methods that are directly usable by practitioners.   I have been using fractional calculus-based methods to generalize and improve widely used techniques. The generality and the flexibility of these methodologies make them more attractive in practice than their classical counterparts.   Additionally, I am interested in intensive computational or quantitative techniques (e.g., simulation,  bootstrap) to deal with the seemingly analytically intractable aspects of data science. Another area that is equally interesting for me is the development of formal effect estimation, uncertainty quantification, and hypothesis testing procedures in high dimensional data space.

Overall, I am passionate about continually improving traditional/classical statistical methodologies using new or other tools (e.g., fractional calculus-based methods,  machine learning, Bayesian, robust techniques for big data science), sharing state-of-the-art or new methodologies to my students that will help them succeed in life, and providing better solutions to existing real-world problems.

Publications

Cahoy D, Minkabo S. (2017). Inference for three-parameter M-Wright distributions with applications. Model Assist Stat Appl, 12(2), 115-125.

Cahoy D. (2015). Some skew-symmetric distributions which include the bimodal ones. Commun Stat Theory Methods, 44(3), 554-563.

Cahoy D, Polito F. (2014). Parameter estimation for fractional birth and fractional death processes. Stat Comput, 24(2), 211-222.
 
Cahoy D, Polito F. (2013). Renewal processes based on generalized Mittag-Leffler waiting times. Commun Nonlinear Sci Numer Simul, 18(3), 639-650.

Cahoy D. (2012). An estimation procedure for the Linnik distribution. Statist. Papers, 53(3), 617-628.

Cahoy D, Polito F. (2012). Simulation and estimation of the fractional Yule process. Methodol Comput Appl Probab, 14(2), 383-403.
 
Cahoy D, Polito F. (2012). On a fractional binomial process. J Stat Phys, 146(3), 646-662.

Cahoy D. (2012). Moment estimators for the two-parameter M-Wright distribution. Comput Stat, 27(3), 487-497.
 
Cahoy D, Uchaikin V, Woyczynski W. (2010). Parameter estimation for fractional Poisson processes. J Stat Plan Inference, 140(11), 3106-3120.

Cahoy D. (2010). A bootstrap test for equality of variances. Comput Stat Data Anal, 54(10), 2306-2316.

Cahoy D, Sibatov R, Uchaikin V. (2008). Fractional processes: From Poisson to branching. Int J Bifurcat Chaos, 18(9), 2717-2725.

Awards

Louisiana Board of Regents-Research Competitiveness Subprogram award,  Statistical methods for fractional birth-death processes, 2011-2014,  role: PI

Fellowship at Center for Secure Cyberspace, Louisiana Tech University, Summer 2012,

Travel award to attend a conference and present a poster entitled Exploratory data mining and data requirements to support ToxCast goals in EPA, Research Triangle Park, NC, role: Presenter, $1.5k

Teaching Assistantship to pursue PhD-Statistics at Case Western Reserve University, USA, 2003-2007.

Teaching Assistantship to pursue MSc-Statistics at University of Alberta, Canada, 2001-2003

Full Scholarship (with a monthly stipend, free tuition, free board, and lodging) from the Philippine Commission on Higher Education to pursue  MSc-Applied Mathematical Sciences at University of Science and Technology of Southern Philippines, 1997-1998.


Last updated 7/28/2017 9:31 AM