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The LiU Seminar Series in Statistics and Mathematical Statistics
Fall 2014



Tuesday, September 2, 3.15 pm, 2014. Seminar in Mathematical Statistics.

Tests For Covariance Matrices in High Dimension with Less Sample Size
Muni S. Srivastava
, Department of Statistical Sciences, University of Toronto, Canada.
Abstract: In this article, we propose tests for covariance matrices of high dimension with fewer observations than the dimension for a general class of distributions with positive definite covariance matrices. In one-sample case, tests are proposed for sphericity and for testing the hypothesis that the covariance matrix bSi is an identity matrix, by providing an unbiased estimator of tr[bSi2] under the general model which requires no more computing time than the one available in the literature for normal model. In the two-sample case, tests for the equality of two covariance matrices are given. The asymptotic distributions of proposed tests in one-sample case are derived under the assumption that the sample size N = O(p^{delta}), 1/2 < delta <1, where p is the dimension of the random vector.
Keywords & Phrases: Asymptotic distributions, covariance matrix, high dimension, non-normal model, sample size smaller than dimension, test statistics.
Location: Hopningspunkten.

Tuesday, September 9, 3.15 pm, 2014. Seminar in Statistics.

Developing Neuroimaging Methods to Disentangle Mild Traumatic Brain Injury
Erik Eierud
, Baylor College of Medicine, USA.
Abstract: In the 4th century BC, mild traumatic brain injury (mTBI) was defined, but until recently, sparse work to track or alleviate effects from mTBI has materialized. Perhaps reasons are that many other important injuries are discovered and treatable using modern technology, while mTBI injuries are obscure and often untreatable despite impressive improvements in neuroimaging and other mTBI related techniques. Since 1990 there has been an upsurge in mTBI-neuroimaging literature, which is the focus of this presentation. Extra attention will be given to diffusion tensor imaging (DTI) and functional MRI (fMRI). For fMRI we have explored support vector machines with goal to track the mTBI progression over time after injury. In addition, we have explored a naive model system to validate our mTBI-fMRI methods. Finally we will present results from 10 mTBI subjects, which we have measured longitudinally, within a year after their concussion.
Location: Alan Turing

Tuesday, September 23, 3.15 pm, 2014. Seminar in Mathematical Statistics.

TBA
Stanislav Volkov
, Mathematical Statistics, Lund University.
Abstract: TBA
Location: TBA.

Tuesday, October 7, 3.15 pm, 2014. Seminar in Mathematical Statistics.

TBA
Rolf Larsson
, Mathematical Statistics, Stockholm University.
Abstract: TBA
Location: TBA.

Tuesday, October 21, 3.15 pm, 2014. Seminar in Statistics.

TBA
Johan Koskinen
, Mitchell Centre for Social Network Analysis, University of Manchester.
Abstract: TBA
Location: Alan Turing

Tuesday, November 4, 3.15 pm, 2014. Seminar in Statistics.

TBA
Annika Tillander
, Dept. of Medical Epidemiology and Biostatistics.
Abstract: TBA
Location: Alan Turing

Tuesday, December 2, 3.15 pm, 2014. Seminar in Statistics.

TBA
Arvid Sjölander
, Dept. of Medical Epidemiology and Biostatistics.
Abstract: TBA
Location: Alan Turing

Page responsible: Mattias Villani
Last updated: 2014-09-01