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DTSTART:20190310T070000
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DTSTART:20191103T060000
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DTSTART;TZID=America/Toronto:20200106T100000
SEQUENCE:0
TRANSP:TRANSPARENT
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URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/department
 -seminar-kris-sankaran-quebec-institute-artificial
LOCATION:M3 - Mathematics 3 200 University Avenue West Room 3127 Waterloo O
 N N2L 3G1 Canada
SUMMARY:Department seminar by Kris Sankaran\, Quebec Institute for Artifici
 al\nIntelligence
CLASS:PUBLIC
DESCRIPTION:NAVIGATION AND EVALUATION OF LATENT STRUCTURE IN HIGH-DIMENSION
 AL DATA\n\n-------------------------\n\nIn the modern data analysis paradi
 gm\, fitting models is easy\, but\nknowing how to design or evaluate them 
 is difficult. In this talk\, we\nwill adapt insights from graphical statis
 tics and goodness-of-fit\ntesting to modern problems\, illustrating them w
 ith applications to\nmicrobiome genomics and climate systems science.\n\nF
 or the microbiome\, we show how linking complementary displays can\nmake i
 t easy to query structure in raw data. We also find novel visual\nsummarie
 s that inform model criticism more deeply than data splitting\nstrategies 
 alone. We then describe how artificial intelligence can be\nused to accele
 rate climate simulations\, and introduce techniques for\ncharacterizing go
 odness-of-fit of the resulting models.\n\nViewed broadly\, these projects 
 provide opportunities for human\ninteraction in the automated data process
 ing regime\, facilitating (1)\nstreamlined navigation of data and (2) crit
 ical evaluation of models.
DTSTAMP:20260430T072801Z
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