Ana Justel

Elena Cristóbal1
José A. Villadangos1
1Elena Cristóbal
1José A. Villadangos
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A new clustering method for time series is proposed, based on the full probability density of the forecasts. First, a resampling method combined with a nonparametric kernel estimator provides estimates of the forecast densities. A measure of discrepancy is then defined between these estimates and the resulting dissimilarity matrix is used to carry out the(More)
This paper considers the estimation of a set S < d from a random sample of n points, using the \naive" estimator ^ Sn (the simplest one for the non-convex case) deened as a union of balls, centered at the sample points, with common radius n. In particular, we f o c u s o n further exploring a method, rst proposed by Devroye and Wise (1980), for the(More)
CD69 is rapidly upregulated on T cells upon activation. In this work we show that this is also the case for CD69 expression on dendritic cells (DC). Thus, the expression kinetics of CD69 on both cell types is reminiscent of the one of costimulatory molecules. Using mouse models of transgenic T cells, we aimed at evaluating the effect of monoclonal antibody(More)
This study aims to introduce the robust optimum (RO) method as an alternative to the classical weighted averaging (WA) method for estimating the ecological optimum as well as the optimum and tolerance ranges of a taxon with respect to an environmental variable in limnological studies. The RO method is based on robust location and scale estimates rather than(More)
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