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PRODID:-//Iowa State University CALS LAS Web Team//sites.iastate.edu//EN
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UID:20220321T160000-979-www.stat.iastate.edu
DTSTART:20220321T160000Z
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TRANSP:OPAQUE
DTEND:20220321T170000Z
SUMMARY:Lingzhou Xue\, Penn State University: An Additive Graphical Model f
 or Discrete Data
CLASS:PUBLIC
DESCRIPTION:Abstract:&nbsp\;We introduce a nonparametric graphical model fo
 r discrete node variables based on additive conditional independence. Addi
 tive conditional independence is a three-way statistical relation that sha
 res similar properties with conditional independence by satisfying the sem
 i-graphoid axioms. Based on this relation we build an additive graphical m
 odel for discrete variables that does not suffer from the restriction of a
  parametric model such as the Ising model. We develop an estimator of the 
 new graphical model via the penalized estimation of the discrete version o
 f the additive precision operator and establish the consistency of the est
 imator under the ultrahigh-dimensional setting.\n\nMore information at: ht
 tps://www.stat.iastate.edu/event/2022/lingzhou-xue-penn-state-university-a
 dditive-graphical-model-discrete-data
DTSTAMP:20260308T044354Z
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