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Nonparametric Density Estimation for Positive Time Series [PDF]

open access: yes
The Gaussian kernel density estimator is known to have substantial problems for bounded random variables with high density at the boundaries. For i.i.d. data several solutions have been put forward to solve this boundary problem. In this paper we propose
Jeroen V.K. Rombouts, Taoufik Bouezmarni
core  

Computing assumption-lean bounds for per-protocol effects. [PDF]

open access: yesTrials
Zivich PN   +5 more
europepmc   +1 more source

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