Here at the Analytics Lab @ OU we would like to wish you all a happy holiday season, a wonderful winter break, and a feliz año nuevo! Also, we have had some nice developments over the last few days and weeks and I would like to mention these briefly. Congratulations! Congratulations to Param Tripathi for succesfully… Read More »
In the first of this series of posts on regression techniques we introduced the work-horse of predictive modeling, ordinary least squares regression (OLS), but concluded with the notion that while a common and useful technique, OLS has some notable weaknesses. In the last post we discussed its sensitivity to outliers and how to deal with that using… Read More »
We left off discussion in the last post on regression techniques with the statement that there are some known issues relating to Ordinary Least Squares (OLS) regression techniques. My goal in this series of posts is to introduce several variations on OLS that address one or more of these drawbacks. The first issue I will mention is related… Read More »
I just completed this semester’s series of lectures on regression methods in ISE/DSA 5103 Intelligent Data Analytics and I wanted to take a moment to call out a few key points. First, let me list the primary set of techniques that we covered along with links to the associated methods and package in R: Ordinary… Read More »
The Analytics Lab has two new publications recently accepted in Sustainable and Resilient Infrastructure. Barker, K., J. Lambert, C. Zobel, A. Tapia, J. Ramirez-Marquez, L. McLay, C. Caragea, C. Nicholson. 2016. Defining Resilience Analytics. Accepted for publication in Sustainable and Resilient Infrastructure on September 1, 2016. Zhang, W. and C. Nicholson. 2016. A multi-objective optimization model for retrofit strategies… Read More »
Open Faculty Position in ISE The School of Industrial and Systems Engineering at the University of Oklahoma is recruiting to fill an open tenure-track faculty position to begin in August 2017. The position should help further our existing core research efforts in Cyber-Physical-Social systems in particular as it relates to the broad field of resilience. The… Read More »
What is Big Data? Big data is term that you often hear when people talk about data science and analytics. So, the question is, “what is big data?” Doug Laney from Gartner, a leading information technology research company, defined 3 dimensions of “big data”: volume, velocity, and variety. Volume denotes the size and scale of… Read More »
Why are open source statistical programming languages the best? Because they R. It is August and Fall 2016 classes begin in just a couple of days. I am currently prepping for two large classes: I happy to see the incredible interest in my graduate course with over 50 students enrolled in ISE/DSA 5103 Intelligent Data Analytics! I… Read More »
Summer 2016 Hangout Very happy to see all the students and friends that came out to the Summer 2016 hangout at McNellie’s The Abner Ale House in Norman. I am privileged to work a wide variety of students in ISE, DSA, and CEES who are applying research in a broad array of application areas (from Community Resilience to… Read More »
Summer publications! We are happy to see two new papers accepted for publication in Computers and Industrial Engineering this Summer! These publications form a logical pair, with one introducing a new perspective that uses statistical learning to help study the Fixed-Charge Network Flow (FCNF) problem and the other develops a solution technique that hybridizes the new… Read More »