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UID:20260603T042118EDT-4187ObzXAU@132.216.98.100
DTSTAMP:20260603T082118Z
DESCRIPTION:Smooth conditional distribution estimators using Bernstein poly
 nomials.\n\nIn a variety of statistical problems\, estimation of the condi
 tional distribution function remains a challenge. To this end\, a two-stag
 e Bernstein estimator for conditional distribution functions is introduced
 . The method consists in smoothing a first-stage Nadaraya–Watson or local 
 linear estimator by constructing its Bernstein polynomial. Some asymptotic
  properties of the proposed estimator are derived\, such as its asymptotic
  bias\, variance and mean squared error. The asymptotic normality of the e
 stimator is also established under appropriate conditions of regularity. L
 astly\, the performance of the proposed estimator is briefly studied throu
 gh a few examples. Travail en collaboration avec Mohamed Belalia et Alexan
 dre Leblanc.\n
DTSTART:20180215T200000Z
DTEND:20180215T210000Z
LOCATION:Room PK-5115 \, CA\, Pavillon President-Kennedy
SUMMARY:Taoufik Bouezmarni\, Université de Sherbrooke
URL:/mathstat/channels/event/taoufik-bouezmarni-univer
 site-de-sherbrooke-285067
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