Difference between revisions of "Template:NextTalk"

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<h4 style="margin:0px 0px 0.1em 0px;padding:0px">Workshop </h4>
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<h4 style="margin:0px 0px 0.1em 0px;padding:0px">Summer School</h4>
 
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Geometry, Topology, and Computation <br>
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Persistent Homology and Barcodes
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June 12 - 14
 
 
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Heidelberg, Mathematikon <br>
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August 5-9
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Organizers: <i>Peter Albers, Roman Sauer, Anna Wienhard </i><br>
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[https://sites.google.com/view/geometry-topology-computation website]
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Schloß Rauischholzhausen <br>
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JLU Gießen
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<i>Organizers: Peter Albers (Heidelberg), Leonid Polterovich (Tel Aviv), Kai Zehmisch (Gießen)</i>
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[https://sites.google.com/view/persistenthomologyandbarcodes/ website]
 
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<h4 style="margin:0px 0px 0.1em 0px;padding:0px">Stochastics Colloquium</h4>
 
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Object Oriented Data Analysis - Steve Marron* <br>
 
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June 14, 15.00-16.00
 
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Mathematikon, Lecture Hall <br>
 
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<font size="1">(*University of North Carolina) </font>
 
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Abstract:
 
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The rapid change in computational capabilities had made Big Data a major modern statistical challenge. Less well understood is the rise of Complex Data as a perhaps greater challenge. Object Oriented Data Analysis (OODA) is a framework for addressing this, in particular providing a general approach to the definition, representation, visualization and analysis of Complex Data. The notion of OODA generally guides data analysis, trough providing a useful terminology for interdisciplinary discussion of the many choices typically needed in modern complex data analyses. The main ideas are illustrated via a survey of a number of approaches which integrate differential geometry and Bayesian statistics, yielding powerful image segmentations.
 
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Revision as of 20:25, 20 June 2019

Summer School

Persistent Homology and Barcodes

August 5-9

Schloß Rauischholzhausen
JLU Gießen

Organizers: Peter Albers (Heidelberg), Leonid Polterovich (Tel Aviv), Kai Zehmisch (Gießen)

website

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