Abstract | ||
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We study the L1 median for locationally uncertain points with discrete distributions. That is, each point in a data set has a discrete probability distribution describing its location. The L1 median is a robust estimator, useful when there are outliers in the point set. However given the probabilistic nature of this data, there is a distribution describing the L1 median, not a single location. We show how to construct and estimate this median distribution in near-linear or quadratic time in 1 and 2 dimensions. |
Year | Venue | Field |
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2016 | arXiv: Discrete Mathematics | Log-Cauchy distribution,Weighted median,Median absolute deviation,Uncertain data,Mid-range,Hodges–Lehmann estimator,Probability distribution,Pseudomedian,Statistics,Mathematics |
DocType | Volume | Citations |
Journal | abs/1601.00630 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jeff M. Phillips | 1 | 536 | 49.83 |
Pingfan Tang | 2 | 0 | 1.69 |