Texas A&M - Labors of Lab
A new spotlight of "Labors of Lab" shines brightly on statistics Ph.D candidate Minsuk Shin, Class of 2016. Studying under the advisement of Department Head, Dr. Valen Johnson, Minsuk shows passion for his research in Bayesian statistics and power in data. "Everything in Bayesian statistics can be explained by one single theorem, a Bayes theorem," Shin said. "I found that it's kind of beautiful, and also, it has very strong coherence."
Texas A&M Analytics, in collaboration with the SAS® Institute Inc., hosted a record crowd at their third annual SAS Day at Houston's CityCentre. The annual event highlights speakers from SAS and industry experts who present on a variety of topics related to using analytics to make better business decisions.Read More →
Texas A&M University faculty couple Raymond J. Carroll and Marcia G. Ory -- respective distinguished professors in statistics and healthy aging -- have established a $25,000 fellowship to benefit students pursuing graduate degrees in the Texas A&M Department of Statistics.Read More →
11:30 AM / 12:30 PM Blocker Building (BLOC), Room 113 979-845-3141
Department of Statistics
University of California, Berkeley
"Accuracy of Maximum Likelihood Estimators in Shape Constrained Estimation"
Shape constrained estimation is a subfield of nonparametric estimation where one seeks to estimate the unknown object of interest (such as a regression function or a density) under natural shape constraints such as monotonicity, convexity, concavity, log-concavity etc. The estimator of choice in these problems is usually the maximum likelihood estimator (MLE). This talk will aim to shed some light on the accuracy of the MLE in these problems under natural global loss functions. I will focus on the interesting way in which the accuracy of the MLE changes with the underlying unknown parameter value.
08:00 AM / 07:00 PM Blocker Building (BLOC), Room 169 979-845-3141
Structured Multivariate Data Workshop
A Workshop on Structured Multivariate Data sponsored by the Department of Statistics, and the Institute for Applied Mathematics and Computational Science (IAMCS) at Texas A&M University. We also acknowledge support from the Southeastern Texas Chapter of the American Statistical Association (SETCASA).
Professor of Statistics
Assistant Professor of Statistics
For more details, please visit the Workshop Webpage.
Admission is Free!