Texas A&M - Labors of Lab
A new "Labors of Lab" episode on statistics Ph.D candidate Raanju Sundararajan, Class of 2017. Studying under the advisement of Prof. Mohsen Pourahmadi, Raanju discusses his research in time series analysis, which he's using to model earthquake occurrence patterns, as well as one of his greatest learning opportunities thus far at Texas A&M: teaching.
When Texas A&M senior Tessa Johnson '17 walks across the Reed Arena stage in August, she will be picking up dual diplomas -- a bachelor's of science in applied mathematical sciences and the first bachelor's of science in statistics to be awarded in Texas A&M history.Read More →
Texas A&M statistician Cliff Spiegelman is being celebrated with a virtual special issue of Chemometrics and Intelligent Laboratory Systems honoring his 30 years of service to both the international publication and the discipline he helped create.Read More →
11:30 AM / 12:30 PM Blocker Building (BLOC), Room 113 979-845-3141
Department of Quantitative Health Sciences
Lerner Research Institute, Cleveland Clinic
"Variable Screening, Selection and Prediction in High Dimensions"
We consider an alternative method for variable screening, selection and prediction in linear regression problems where the number of predictors are much higher than the number of observations. The method involves minimizing a penalized Euclidean distance with a newly defined penalty term. This particular formulation exhibits a grouping effect, which is useful for screening out predictors in higher or ultra-high dimensional problems. Practical performances of variable selection and prediction are evaluated through simulation studies and the analysis of a dataset of mass spectrometry scans from melanoma patients, where excellent predictive performance is obtained.
Friday, April 28, 2017, 11:30 AM, BLOC 113