Robust detection using extreme-value theory | IEEE Journals & Magazine
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The use of extreme-value theory (EVT) in the detection of a binary signal in additive, but statistically unknown, noise is considered.
Robust detection of binary signal in additive noise, using extreme value theory /EVT/ to estimate probability density function and system error and ...
It is shown that the optimum threshold and the probability of error of the system can be accurately estimated by using EVT to obtain properties of the initial ...
It is shown that the optimum threshold and the probability of error of the system can be accurately estimated by using EVT to obtain properties of the ...
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We discuss some methodological aspects how robust methods can improve the quality of extreme value theory data analysis by providing information on influential ...
Jun 26, 2015 · Extreme value theory lets you estimate the 99.9% quantile, by making various assumptions about the shape of your distribution in the tail: that ...
Extreme Value Theory (EVT) provides reasonable statistical principles which can be used to extrapolate tail distributions, and, consequently, estimate extreme ...
Missing: detection | Show results with:detection
Anomaly detection is a hypotheses testing problem in which the null hypothesis is that an image is normal and the alternative hypothesis is that it is anomalous ...
Appropriate conditions ensure that the model is in accordance with extreme value theory both for the lower and upper tail of the distribution. The methods ...
Oct 22, 2024 · We study distributional robustness in the context of Extreme Value Theory (EVT). As an application, we provide a data-driven method for ...
Missing: detection | Show results with:detection