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Bayesian Inference on Multivariate Medians and Quantiles [PDF]

open access: greenStatistica Sinica, 2020
In this paper, we consider Bayesian inference on a class of multivariate median and the multivariate quantile functionals of a joint distribution using a Dirichlet process prior. Since, unlike univariate quantiles, the exact posterior distribution of multivariate median and multivariate quantiles are not obtainable explicitly, we study these ...
Indrabati Bhattacharya, Subhashis Ghosal
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Differentially private multivariate medians [PDF]

open access: green, 2022
50 pages, 4 figures, 2 ...
Kelly Ramsay   +2 more
openalex   +3 more sources

Multivariate Median Filters and Partial Differential Equations [PDF]

open access: greenJournal of Mathematical Imaging and Vision, 2016
Multivariate median filters have been proposed as generalisations of the well-established median filter for grey-value images to multi-channel images. As multivariate median, most of the recent approaches use the $L^1$ median, i.e.\ the minimiser of an objective function that is the sum of distances to all input points.
Martin Welk
openalex   +4 more sources

Multivariate Medians for Image and Shape Analysis [PDF]

open access: green, 2019
Having been studied since long by statisticians, multivariate medianconcepts found their way into the image processing literature in thecourse of the last decades, being used to construct robust and efficientdenoising filters for multivariate images such as colour images but alsomatrix-valued images.Based on the similarities between image and geometric
Martin Welk
  +6 more sources

Confidence Sets for Multivariate Medians [PDF]

open access: bronzeThe Annals of Mathematical Statistics, 1961
This paper considers the problem of finding confidence sets of the parallelepiped type based on extreme order statistics for multivariate medians when no parametric assumptions are made. A partial characterization of a multivariate distribution which will minimize the probability of the specified parallelepiped covering the multivariate median is given.
Paul G. Hoel, Ernest M. Scheuer
openalex   +3 more sources

The multivariate L 1 -median and associated data depth [PDF]

open access: greenProceedings of the National Academy of Sciences, 2000
This paper gives three related results: ( i ) a new, simple, fast, monotonically converging algorithm for deriving the L 1 -median of a data cloud in ℝ d , a problem that can be traced to Fermat and has fascinated applied ...
Yehuda Vardi, Cun-Hui Zhang
openalex   +5 more sources

A Comparison of Algorithms for the Multivariate L1-Median [PDF]

open access: greenSSRN Electronic Journal, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Heinrich Fritz   +2 more
  +7 more sources

Multivariate medians and measure-symmetrization [PDF]

open access: green, 2007
We discuss two research areas dealing respectively with (1) a class of multivariate medians and (2) a symmetrization algorithm for probability measures.
Richard A. Vitale
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Estimators Related to $U$-Processes with Applications to Multivariate Medians: Asymptotic Normality [PDF]

open access: bronzeThe Annals of Statistics, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Miguel A. Arcones   +2 more
openalex   +3 more sources

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