Tags: Colloquium Series

The Statistics Department hosts weekly colloquia on a variety of statistcal subjects, bringing in speakers from around the world.


Jason Kao

Functional magnetic resonance imaging (fMRI) is one of the leading brain mapping technologies for studying brain activity in response to mental stimuli. For neuroimaging studies utilizing this pioneering technology, there is a great demand of high-quality experimental designs that help to collect informative data to make precise and valid inference about brain functions. In this talk, I provide a survey on some recently developed analytical and…


Joyee Ghosh

In this talk we will give a quick overview of some of the strengths and challenges in Bayesian variable selection as it evolved over the last two decades. We will then discuss two specific problems in linear regression with strong multicollinearity among the covariates. A variety of Markov chain Monte Carlo algorithms  have been proposed in the literature for Bayesian variable selection in linear regression. The computation for these…


Hsin-Ping Wu

Finding optimal designs for generalized linear models is a challenging problem. Recent research has identified the structure of optimal designs for generalized linear models with a single or multiple independent explanatory variables that appear as first-order terms in the predictor. We consider generalized linear models with a single-variable quadratic polynomial predictor under a popular family of optimality criteria. When the design region is…


Snehalata Huzurbazar

Gene duplication is the key mechanism for evolutionary change. To infer the timing and nature of gene duplication, the 'data' used are the end result of various pipelines. In this talk, I will summarize how the 'data' are obtained, explore the shortcomings of analyses in the literature, and end with current work on overcoming these shortcomings. The interesting statistical problems are that the 'data' are maximum likelihood estimates, and that…


C.F. Jeff Wu

Dr. Wu will speak at this year's Bradley Lecture on Friday April 25, 2014 at 4:30pm.  An RSVP is required to attend this lecture. Young (and some not-so-young) researchers often wonder how to extract good research ideas and develop useful methodologies from solving real world problems. The path is rarely straightforward and its success depends on the circumstances, tenacity and luck. I will use three examples to illustrate how I trod the…


R. Todd Ogden

One situation that arises in the field of functional data analysis is the use of imaging data or other very high dimensional data as predictors in regression models.  A motivating example involves using baseline images of a patient's brain to predict the patient's clinical outcome.  Interest lies both in making such patient-specific predictions and in understanding the relationship between the imaging data and the outcome. …


Richard De Veaux

The Dipsea is a 100 year old 8 mile running event that starts in Mill Valley CA and ends at the Pacific Ocean near Stinson Beach. What makes the event unique is its handicap system. Each age group for men and women receive a handicap time. For example, the slowest group, the AAA group, comprised of men 74 years old and older, boys 6 and under, women 66 and older, and girls 7 and under, receive a 25 minute handicap. But what makes the event…


Bradley Jones- Canceled due to inclement weather

This event has been canceled due to inclement weather.  Please stay tuned for future updates.       Latin Hypercube designs (LHD) are in standard use as plans for deterministic computer experiments. However, these designs depend on the ability of the investigator to set each factor independently of all the others. To be specific, the implied design region for an LHD is a square, cube or hypercube. However, there are cases…


Kathryn Chaloner

Dr. Chaloner will speak at this year's UGA/Clemson Joint Seminar on Thursday April 17, 2014 at 3:45pm.  An RSVP is required to attend this lecture. Bayesian methods for statistical analyses require a different interpretation of probability than traditional “frequentist” methods.  The use of Bayesian methods is increasingly common and its flexibility has facilitated a wide range of scientific advances, especially in medicine. The first…


Andrew Brown

The analysis of functional neuroimaging data often involves the simultaneous testing for activation at thousands of voxels, leading to a massive multiple testing problem. This is true whether the data analyzed are time courses observed at each voxel or a collection of summary statistics such as statistical parametric maps (SPMs). It is known that classical multiplicity corrections become strongly conservative in the presence of a massive number…
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