Colloquium in Statistics and Mathematical Methods in Economics

The colloquium, opens an external URL in a new window takes place in Freihaus building of TU Wien (address: Wiedner Hauptstraße 8-10, 1040 Wien).

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(You can always unsubscribe by sending an email with subject “unsub swm-kolloquium” to the same address sympa@list.tuwien.ac.at.)

Upcoming seminars

June 7th, 2023 at 4 p.m., Lecture hall FH Hörsaal 2, opens an external URL in a new window

Prof. Lexin Li, opens an external URL in a new window, University of California, Berkeley School of Public Health

Title: Statistical Neuroimaging Analysis: An Overview

Abstract:

Understanding the inner workings of human brains, as well as their connections with neurological disorders, is one of the most intriguing scientific questions. Studies in neuroscience are greatly facilitated by a variety of neuroimaging technologies, including anatomical magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), electroencephalography (EEG), diffusion tensor imaging, positron emission tomography (PET), among many others. The size and complexity of medical imaging data, however, pose numerous challenges, and call for constant development of new statistical methods. In this talk, I give an overview of a range of neuroimaging topics our group has been investigating, including imaging tensor analysis, brain connectivity network analysis, multimodality analysis, and imaging causal analysis. I also illustrate with a number of specific case studies.

Speaker:

Lexin Li, Ph.D., is a Professor of Biostatistics at the Department of Biostatistics and Epidemiology, and Helen Wills Neuroscience Institute, of the University of California, Berkeley. His research interests include neuroimaging analysis, network data analysis, high dimensional regressions, dimension reduction, machine learning, and biomedical applications. He is a Fellow of the American Statistical Association (ASA), a Fellow of the Institute of Mathematical Statistics (IMS), and an Elected Member of the International Statistical Institute (ISI).   

Past seminars

June 29th, 2022 
Prof. Giovanni Motta, opens an external URL in a new window, Texas A&M University
√2-Estimation for Smooth Eigenvectors of Matrix-Valued Functions

March 16th, 2022 
Prof. Alois Steindl, opens an external URL in a new window, TU Wien.
Optimal control of a space rendezvous

January 19, 2022
Prof. Thomas Gärtner, opens an external URL in a new window, TU Wien.
Effective Machine Learning with Structured Data

January 29, 2020
Dr. Michael Messer, TU Wien.
Bivariate Change Point Detection - Joint Detection of Changes in Expectation or Variance.

January 22, 2020
Prof. Liliana Forzani, opens an external URL in a new window, Universidad Nacional del Litoral.
Partial Least Squares: Big Data for Chemometrics.

November 20, 2019
Dr. Nawid Siassi, TU Wien.
From Dual to Unified Employment Protection: Transition and Steady State.

November 13, 2019
Prof. Vladimir Gaitsgory, opens an external URL in a new window, Macquarie University, Sydney.
Linear Programming Approach to Long Run Average Optimal Control: The Non-Ergodic Case.

June 12, 2019
Prof. Elena A. Erosheva, University of Washington and Université Côte d’Azur, Nice.
Analyzing JSTOR Corpus of Publications: Is There Gender Homophily in Scientific Collaborations?

May 8, 2019
Dr. Karl Oskar Ekvall, opens an external URL in a new window, TU Wien.
Convergence Analysis of a Collapsed Gibbs Sampler for Bayesian Vector Autoregressions.

April 24, 2019
Prof. Hannu Oja, opens an external URL in a new window, University of Turku.
Information and Structures in Multivariate Data Sets: PCA vs. ICA.

April 3, 2019
Dr. Emanuel Gasteiger, opens an external URL in a new window, TU Wien.
Endogenously (Non-)Ricardian Beliefs.

March 20, 2019
Dr. Jonas Krampe, opens an external URL in a new window, University of Mannheim.
Bootstrap Based Inference for Sparse High-Dimensional Time Series Models.

March 13, 2019
Dr. Patrick Tardivel, opens an external URL in a new window, University of Wrocław.
On the Sign Recovery Given by LASSO, Thresholded LASSO and Thresholded Basis Pursuit Denoising.