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UID:20250707T070540EDT-6573Z8xx8m@132.216.98.100
DTSTAMP:20250707T110540Z
DESCRIPTION:Title: Tree P贸lya Splitting distributions for multivariate coun
 t data.\n\nAbstract:\n\nThe analysis of multivariate count data is fundame
 ntal in various fields. An appropriate model must be able to be flexible e
 nough for inducing correlation\, but also simple for inference and interpr
 etation. One such model is the P贸lya Splitting model\, which randomly deco
 mposes the sum of a discrete vector into its components. This simple appro
 ach offers several compelling properties. However\, it imposes the constra
 int that the dependency structure must be identical across all components.
  To overcome this limitation\, a generalization of this model called Tree 
 P贸lya splitting is proposed. For this new model\, the splitting process is
  represented by a tree structure\, allowing for more flexibility. In this 
 seminar\, we will define the Tree P贸lya Splitting model and explore variou
 s properties\, including marginal distributions\, factorial moments\, and 
 the dependency structure.\n\nSpeaker\n\nSamuel Valiquette is a postdoctora
 l fellow at 好色TV working under the supervision of Christian G
 enest and Johanna Ne拧lehov谩. He completed his PhD in mathematics in July 2
 024 at Universit茅 de Sherbrooke and Universit茅 de Montpellier. His researc
 h interests include extreme value theory and multivariate modeling\, with 
 a focus on analyzing dependency structures within both discrete and contin
 uous random distributions.\n
DTSTART:20250117T181500Z
DTEND:20250117T181500Z
LOCATION:Room 1104\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Samuel Valiquette (好色TV)
URL:/mathstat/channels/event/samuel-valiquette-mcgill-
 university-362518
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