Skip to main content
Skip to main menu Skip to spotlight region Skip to secondary region Skip to UGA region Skip to Tertiary region Skip to Quaternary region Skip to unit footer

Slideshow

Tags: Colloquium Series

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

Locally Adaptive Weighting and Screening Approach to Spatial Multiple Testing Exploiting spatial patterns promises to improve both power and interpretability of false discovery rate (FDR) analyses. This article develops a new class of locally–adaptive weighting and screening (LAWS) rules that directly incorporates useful local patterns into inference by constructing robust and structure-adaptive weights according to the estimated local sparsity…
Kernel-based genome-wide gene-set association test With the radical breakthrough in biotechnology, high throughput genomic data are routinely generated. These data present unprecedented opportunities in disentangling the genetic secret of complex diseases, while also present daunting challenges in statistical modeling and inference. In the last few years, we have witnessed significant advancement in statistical methodology development for…
Statistical Modeling and Optimization for Optimal Adaptive Trial Design in Personalized Medicine We provide a new modeling framework and adopt modern optimization tools to attack an  important open problem in statistics. In particular, we consider the optimal adaptive trial design problem in personalized medicine. Adaptive enrichment designs involve preplanned rules for modifying enrollment criteria based on accruing data in a randomized…
A new change point analysis problem motivated by a liver procurement study Literature on change point analysis mostly requires a sudden change in the data distribution, either in a few parameters or the distribution as a whole. We are  interested in the scenario where the variance of data may make a significant jump while the mean changes in a smooth fashion. The motivation is a liver procurement experiment monitoring organ surface…
RaSE: Random Subspace Ensemble Classification We propose a new model-free ensemble classification framework, Random Subspace Ensemble (RaSE), for sparse classification. In the RaSE algorithm, we aggregate many weak learners, where each weak learner is a base classifier trained in a subspace optimally selected from a collection of random subspaces. To conduct subspace selection, we propose a new criterion, ratio information criterion (RIC), based…
The lady keeps tasting coffee: opening the doors to interactive experimental design and causal inference via betting and cooperation We revisit Fisher's classical randomized experiment from the early 1920s titled The Lady Tasting Tea. To recall, algologist Dr. Muriel Bristol was asked to taste 8 cups of milky tea, 4 made one way (milk first) and 4 made another (tea first). These were presented to Muriel without labels, Fisher conjecturing that…
Approximate Kernel Principal Component Analysis: Computational vs. Statistical Trade-off Kernel principal component analysis (KPCA) is a popular non-linear dimensionality reduction technique, which generalizes classical linear PCA by finding functions in a reproducing kernel Hilbert space (RKHS) such that the function evaluation at a random variable X has a maximum variance. Despite its popularity, kernel PCA suffers from poor scalability in big…
MAPS: Model-based analysis of long-range chromatin interactions from PLAC-seq and HiChIP Hi-C and chromatin immunoprecipitation (ChIP) have been combined to identify long-range chromatin interactions genome-wide at reduced cost and enhanced resolution, but extracting information from the resulting datasets has been challenging. Here we describe a computational method, MAPS, Model-based Analysis of PLAC-seq and HiChIP, to process the data from…
Agenda 4:00 - 4:30pm - Arrival 4:30 - 4:35pm - Opening remarks by Associate Dean Thomas Mote, University of Georgia 4:35 - 5:30pm - Lecture, Dr. Jianqing Fan, Princeton University 5:30 - 6:00pm - Break 6:00 - 7:30pm - Dinner 7:30 - 7:35pm - Remarks by Dean Alan Dorsey, University of Georgia 7:35 - 8:00pm - After-Dinner Talk, Dr. Jianqing Fan, Princeton University co-Sponsors This event is co-sponsored by the National Institute of Statistical…
Senior Manager, Data Science at The Home Depot Founder, Southern Data Science Conference Ph.D. in Computer Science from The University of Georgia (2014)

Support us

We appreciate your financial support. Your gift is important to us and helps support critical opportunities for students and faculty alike, including lectures, travel support, and any number of educational events that augment the classroom experience. Click here to learn more about giving.

Every dollar given has a direct impact upon our students and faculty.