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Nonparametric recursive estimation of the copula
Statistics & Probability Letters ( IF 0.9 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.spl.2020.108929
Felix Camirand Lemyre , Geoffrey Decrouez

Abstract This paper introduces two nonparametric recursive estimators of the copula. These estimators employ a recursive estimation of the quantile achieved using a stochastic approximation algorithm. Their asymptotic properties and numerical performance are investigated in the context of i.i.d. data.

中文翻译:

copula 的非参数递归估计

摘要 本文介绍了copula的两个非参数递归估计量。这些估计器采用使用随机近似算法实现的分位数的递归估计。在 iid 数据的背景下研究了它们的渐近特性和数值性能。
更新日期:2021-01-01
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