Extensions of smoothing via taut strings

dc.creatorDuembgen, Lutz
dc.creatorKovac, Arne
dc.date2008-03-20
dc.date2009-01-29
dc.date.accessioned2026-07-07T12:35:00Z
dc.date.available2026-07-07T12:35:00Z
dc.descriptionSuppose that we observe independent random pairs $(X_1,Y_1)$, $(X_2,Y_2)$, >..., $(X_n,Y_n)$. Our goal is to estimate regression functions such as the conditional mean or $β$--quantile of $Y$ given $X$, where $0<β<1$. In order to achieve this we minimize criteria such as, for instance, $$ \sum_{i=1}^n ρ(f(X_i) - Y_i) + λ\cdot \mathop TV\nolimits (f) $$ among all candidate functions $f$. Here $ρ$ is some convex function depending on the particular regression function we have in mind, $\mathop {\rm TV}\nolimits (f)$ stands for the total variation of $f$, and $λ>0$ is some tuning parameter. This framework is extended further to include binary or Poisson regression, and to include localized total variation penalties. The latter are needed to construct estimators adapting to inhomogeneous smoothness of $f$. For the general framework we develop noniterative algorithms for the solution of the minimization problems which are closely related to the taut string algorithm (cf. Davies and Kovac, 2001). Further we establish a connection between the present setting and monotone regression, extending previous work by Mammen and van de Geer (1997). The algorithmic considerations and numerical examples are complemented by two consistency results.
dc.descriptionPublished in at http://dx.doi.org/10.1214/08-EJS216 the Electronic Journal of Statistics (http://www.i-journals.org/ejs/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/0803.2931
dc.identifierhttp://arxiv.org/abs/0803.2931
dc.identifierElectronic Journal of Statistics 2009, Vol. 3, 41-75
dc.identifierdoi:10.1214/08-EJS216
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/217641
dc.subjectComputation
dc.subjectMethodology
dc.subject62G08 (Primary), 62G35 (Secondary)
dc.titleExtensions of smoothing via taut strings
dc.typetext

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