COSAM » Departments » Mathematics & Statistics » Research » Seminars » Statistics Discussion Group

Statistics Discussion Group


Statistics Seminar
May 05, 2017 11:00 AM
Parker Hall 324


Speaker: Hans Werner van Wyk

Title: Numerical Statistics; Statistical Numerics

Abstract: Numerical analysis (the study of algorithms and approximation), and statistics (the study of data) have long been considered distinct fields of research. However, they are increasingly being used in conjunction to solve interesting real world problems. For example, efficient numerical optimization- and linear algebra routines facilitate the statistical analysis and processing of large complex datasets. Also, the rise of scientific computing has resulted in the prevalent use of numerical simulations to supplement physical observations. This has led to the need to consider efficiency and accuracy of numerical approximations in the statistical estimation and prediction of these systems. On the other hand, statistics is playing an increasingly important role in the development and analysis of numerical algorithms themselves, such as investigations into the statistical properties of numerical errors, fault detection for computational nodes in a supercomputer, or the use of randomization to speed up and stabilize numerical linear algebra routines. This informal talk explores the fascinating interplay between these two complementary areas of mathematics within the context of a few simple numerical examples.


This is the last Statistics Seminar talk for this semester.
Statistics Seminar
Apr 28, 2017 11:00 AM
Parker Hall 324


CANCELED                  NO SEMINAR


Statistics Seminar
Apr 21, 2017 11:00 AM
Parker Hall 324


Speaker: Yujin Chung

Title: Joint distribution of tree shape and tree distance for recombination detection

Abstract: Ancestral recombination events can cause the underlying genealogy of a site to vary along the genome. To simultaneously detect recombination breakpoints in very long sequence alignments and estimate the phylogenetic tree of each block between breakpoints, I consider a Bayesian model using distance between trees in the prior distribution to favor similar trees at neighboring loci. The main hurdle in using such models is the need to calculate the normalizing function of a prior distribution on trees. I will explain how to compute the normalizing function exactly, for a distribution based on the Robinson-Foulds (RF) distance. At the core is the calculation of the joint distribution of the shape of a random tree and its RF distance to a fixed tree. I will also introduce fast approximations to the normalizing function.

Statistics Seminar
Apr 14, 2017 11:00 AM
Parker Hall 324


Speaker: Laurie Stevison

Title: Approaches and challenges in quantifying recombination rate and hybridization along the genome

Statistics Seminar
Apr 07, 2017 11:00 AM
Parker Hall 324


Speaker: Xiaoyu Li

Title: Statistical Analysis with Missing Data: Some Examples

Statistics Seminar
Mar 31, 2017 11:00 AM
Parker Hall 324


Speaker: Italo Raony Costa Lima

Title: Gradient Boosting Machines: Pointing Ensemble Methods in the Right Direction

Statistics Seminar
Mar 24, 2017 11:00 AM
Parker Hall 324


Speaker: Mark Carpenter
Title: Neural Network Regression Analysis for Some Aerospace Applications

Statistics Seminar
Mar 10, 2017 11:00 AM
Parker Hall 324


Speaker: Ash Abebe

Title: Iterative Rank Estimation for Longitudinal Data


Statistics Seminar
Mar 03, 2017 11:00 AM
Parker Hall 324


Speaker: Chi Xu


Title: Flexible Two-stage Dose-Finding Clinical Studies Using MCP-Mod Approach

Statistics Seminar
Feb 24, 2017 11:00 AM
Parker Hall 324


Speaker: Guanqun Cao

More Events...


Last Updated: 09/11/2015