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比利时vs摩洛哥足彩 ,
university of california san diego

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advancement to candidacy

xiaoou pan

ucsd

on quantile regression: non-asymptotic theory, smoothing and multiplier bootstrap

abstract:

we establish non-asymptotic concentration bound and bahadur representation for quantile regression estimator in the random design setting. smoothed quantile regression is then proposed with fast computation and high estimation accuracy. finally, we provide rigorous theoretical guarantees for the validity of inference via multiplier bootstrap.

advisor: wenxin zhou

november 8, 2019

11:30 am

ap&m 6402

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