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- W1776280612 abstract "Data streams (streaming data) consist of transiently observed, evolving in time, multidimensional data sequences that challenge our computational and/or inferential capabilities. In this paper we propose user friendly approaches for robust monitoring of selected properties of unconditional and conditional distributions of the stream based on depth functions. Our proposals are robust to a small fraction of outliers and/or inliers, but at the same time are sensitive to a regime change in the stream. Their implementations are available in our free R package DepthProc." @default.
- W1776280612 created "2016-06-24" @default.
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- W1776280612 date "2015-01-01" @default.
- W1776280612 modified "2023-10-01" @default.
- W1776280612 title "Two Procedures for Robust Monitoring of Probability Distributions of Economic Data Streams Induced by Depth Functions" @default.
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