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UID:249@escience.washington.edu
DTSTART;TZID=America/Los_Angeles:20250123T163000
DTEND;TZID=America/Los_Angeles:20250123T172000
DTSTAMP:20250124T000450Z
URL:https://escience.washington.edu/events/uw-data-science-seminar-ariane-
 ducellier/
SUMMARY:UW Data Science Seminar: Ariane Ducellier
DESCRIPTION:Please join us for a UW Data Science Seminar on Thursday\, Jan
 uary 23rd from 4:30 to 5:20 p.m. PT. The seminar will feature Ariane Ducel
 lier\, a postdoctoral scholar at the Institute for Health Metrics and Eval
 uation (IHME) at the University of Washington.\n\nThe seminar will be held
  in Hitchcock Hall 132 – Campus Map.\n"Raking methods and applications 
 to health metrics"\nAbstract Raking is widely used in survey inference to
  adjust observations in contingency tables to given marginals. We propose 
 a statistical approach\, and a corresponding optimization algorithm\, that
  is able to handle uncertain observations and margins to propagate the unc
 ertainty and results in an efficient uncertainty quantification of the pos
 terior (raked) estimates. Empirical results show that the approach obtains
 \, at the cost of a single solve\, nearly the same uncertainty estimates a
 s computationally intensive Monte Carlo techniques that pass thousands of 
 observed and of marginal samples through the entire raking process.  In m
 any real situations\, prior information in the form of ordinal constraints
  is available\, and the adjusted observations table after raking must sati
 sfy these constraints in order to be interpretable. We propose a new rakin
 g method that allows one to incorporate ordinal constraints\, which has ne
 arly the same running time of the conventional raking method. We illustrat
 e the proposed approach on mortality rate data.\n\n Ariane Ducellier\, PhD
 \, is a Postdoctoral Scholar at the Institute for Health Metrics and Evalu
 ation (IHME) at the University of Washington\, working in the Mathematical
  Sciences and Computational Algorithms team. Dr. Ducellier completed her d
 octoral work in Earth Sciences at University of Washington\, where her res
 earch involved detecting and classifying earthquake events in large datase
 ts of ground motion recordings. She also holds a master in Statistics from
  University of Washington.\n\nThe UW Data Science Seminar is an annual l
 ecture series at the University of Washington that hosts scholars working 
 across applied areas of data science\, such as the sciences\, engineering\
 , humanities and arts along with methodological areas in data science\, su
 ch as computer science\, applied math and statistics. Our presenters come 
 from all domain fields and include occasional external speakers from regio
 nal partners\, governmental agencies and industry.\nThe 2024-2025 seminars
  will be held in person\, and are free and open to the public.
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