منابع مشابه
Nonparametric estimation of conditional medians for linear and related processes
We consider nonparametric estimation of conditional medians for time series data. The time series data are generated from two mutually independent linear processes. The linear processes may show long-range dependence. The estimator of the conditional medians is based on minimizing the locally weighted sum of absolute deviations for local linear regression. We present the asymptotic distribution...
متن کاملMultiperiod medians on networks
— In this paper we consider multiperiod médian problems on networks, in which multiple facilities are to be located. In order to reduce the choices available for the location of the facilities a number of important properties are studied. For the absolute multiperiod médian the vertex optimality property is established^ and for continuous multiperiod problems, the set of vertices and middle poi...
متن کاملOn Reversal and Transposition Medians
During the last years, the genomes of more and more species have been sequenced, providing data for phylogenetic reconstruction based on genome rearrangement measures. A main task in all phylogenetic reconstruction algorithms is to solve the median of three problem. Although this problem is NP-hard even for the simplest distance measures, there are exact algorithms for the breakpoint median and...
متن کاملGeometric medians
We discuss several generalizations of the notion of median to points in $R^d$. They arise in Computational Geometry and in Statistics. The notions are compared with respect to some of their mathematical properties. We also consider computational aspects. The issue of computational complexity raises several intriguing questions.
متن کاملAn Iterated Conditional Modes/Medians Algorithm for Empirical Bayes Selection of Massive Variables
Empirical Bayes methods are privileged in data mining because they can absorb prior information on model parameters and are free of choosing tuning parameters. We proposed an iterated conditional modes/medians (ICM/M) algorithm to implement empirical Bayes selection of massive variables while incorporating sparsity or more complicated a priori information. The algorithm is constructed on the ba...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Annals of Probability
سال: 1975
ISSN: 0091-1798
DOI: 10.1214/aop/1176996411