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SUMMARY:Polynomial regression under a mixture of classical and Berkson err
 ors with unknown moments of the latter error
DTSTART;VALUE=DATE-TIME:20260925T140000Z
DTEND;VALUE=DATE-TIME:20260925T150000Z
DTSTAMP;VALUE=DATE-TIME:20260922T065000Z
UID:indico-event-2203@events.imath.kiev.ua
DESCRIPTION:Speakers: Oleksandr Liubimov (Taras Shevchenko National Univer
 sity of Kyiv and EPFL\, Lausanne\, Switzerland)\n\nPreviously we gave cons
 istent estimators for model parameters given the first 2d moments of Berks
 on error\, where d is the power of the polynomial. Now we weaken this assu
 mption and construct new estimators for the model parameters. In particula
 r we estimate consistently the regression coefficients without information
  on moments of Berkson error.\n\nhttps://events.imath.kiev.ua/event/2203/
LOCATION:https://knu-ua.zoom.us/j/89643295643?pwd=eTBZZSt0d0thZzFyaUhDUFNG
 TVE3QT09 (ONLINE)
URL:https://events.imath.kiev.ua/event/2203/
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