Challenges in statistical theory: complex data structures and algorithmic optimization. Abstracts from the workshop held August 23rd -- August 29th, 2009
type: Item
instance of: scholarly article
title: Challenges in statistical theory: complex data structures and algorithmic optimization. Abstracts from the workshop held August 23rd -- August 29th, 2009
zbMATH Open document ID: 1192.00049
DOI: 10.4171/OWR/2009/39
published in: Oberwolfach Reports
publication date: 2010-08-05T00:00:00Z
review text: Summary: Technological developments have created a constant incoming stream of complex new data structures that need analysis. Modern statistics therefore means mathematically sophisticated new statistical theory that generates or supports innovative data-analytic methodologies for complex data structures. Inherent in many of these methodologies are challenging numerical optimization methods. The proposed workshop intends to bring together experts from mathematical statistics as well as statisticians involved in serious modern applications and computing. The primary goal of this meeting was to advance the mathematical and methodological underpinnings of modern statistics for complex data. Particular focus was given to the advancement of theory and methods under non-stationarity and complex dependence structures including (multivariate) financial time series, scientific data analysis in neurosciences and bio-physics, estimation under shape constraints, and highdimensional discrimination/classification.
Mathematics Subject Classification ID: 00B05
Mathematics Subject Classification ID: 62-06
Mathematics Subject Classification ID: 60Bxx
Mathematics Subject Classification ID: 62-XX
Mathematics Subject Classification ID: 90Cxx
Mathematics Subject Classification ID: 68Pxx
zbMATH DE Number: 5764246
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.4171/owr/2009/39
OpenAlex ID: W2015776508
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description: scientific article; zbMATH DE number 5764246