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DESCRIPTION:Data contains algebraic structure\, which can be leveraged to\n
 understand the systems it describes. I will discuss my work to extend\nline
 ar algebra to the multilinear setting of tensors. We will see how\nmultilin
 ear algebra gives interpretable insights from multimodal data\nand how it e
 nables the solving of an inverse problem from analysis of\ntime series data
 .\n\nAlgebraic structure can be used to interrogate models. I will describe
 \nmy work to establish a correspondence between notions from invariant\nthe
 ory and properties of statistical models with a group structure on\ntheir p
 arameter space. This correspondence enables understanding the\nparameters i
 n existing models that explain observed data\, as well as\nconstruction of 
 new models that capture otherwise inaccessible\ncharacteristics of\, for ex
 ample\, biological systems.
DTEND:20220217T151500Z
DTSTAMP:20260311T161621Z
DTSTART:20220217T140000Z
LOCATION:Maxwell Dworkin G115
SEQUENCE:0
SUMMARY:Algebraic structure in models and data
UID:tag:localist.com\,2008:EventInstance_39144880812118
URL:https://calendar.college.harvard.edu/event/algebraic_structure_in_model
 s_and_data
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