UF Statistics Seminar Schedule

Seminars are held from 4:00 p.m. - 5:00 p.m. in Griffin-Floyd 100 unless otherwise noted.

Refreshments are available before the seminars from 3:30 p.m. - 4:00 p.m. in Griffin-Floyd Hall 201.

Fall 2017

Date Speaker

Title (click for abstract)

Sep 14 Miles Lopes (University of California, Davis)

Bootstrap Methods for High-Dimensional and Large-Scale Data

Sep 21 Gen Li (Columbia University)


Oct 3 Hira Koul (Michigan State University)


Oct 12 Galin Jones (University of Minnesota)


Oct 26 Mariana Pensky (University of Central Florida)


Nov 2 Jason Roy (University of Pennsylvania)


Nov 16 Lifeng Lin (Florida State University)

Assessing publication bias in meta-analysis

Nov 30 Rebecca Steorts (Duke University)



Bootstrap Methods for High-Dimensional and Large-Scale Data

Miles Lopes University of California, Davis

Bootstrap methods are among the most broadly applicable tools for statistical inference and uncertainty quantification. Although these methods have an extensive literature, much remains to be understood about their applicability in modern settings, where observations are high-dimensional, or where the quantity of data outstrips computational resources. In this talk, I will present a couple of new bootstrap methods that are tailored to these settings. First, I will discuss the topic of "spectral statistics" arising from high-dimensional sample covariance matrices, and describe a method for approximating the laws of such statistics. Second, in the context of large-scale data, I will discuss a more unconventional application of the bootstrap -- dealing with the tradeoff between accuracy and computational cost for ensemble classifiers. More specifically, I will explain how the bootstrap can be used to decide when an ensemble of classifiers trained by bagging or random forests is sufficiently large. This will include joint work with Alexander Aue and Andrew Blandino.

Past Seminars

Spring 2017 Fall 2016
Spring 2016 Fall 2015 Fall 2014 Fall 2013
Spring 2013 Fall 2012 Spring 2012 Fall 2011
Spring 2011 Fall 2010 Spring 2010 Fall 2009
Spring 2009 Fall 2008 Spring 2008 Fall 2007
Spring 2007 Fall 2006 Spring 2006 Fall 2005
Spring 2005 Fall 2004 Spring 2004 Fall 2003
Spring 2003 Fall 2002 Spring 2002 Fall 2001
Spring 2001 Fall 2000 Spring 2000 Fall 1999