Results 11 to 20 of about 5,238,545 (299)
Streaming Algorithms for High-Dimensional Robust Statistics [PDF]
International Conference on Machine Learning, 2022 We study high-dimensional robust statistics tasks in the streaming model. A recent line of work obtained computationally efficient algorithms for a range of high-dimensional robust estimation tasks.
Ilias Diakonikolas +3 more
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Extreme Bandits Using Robust Statistics [PDF]
IEEE Transactions on Information Theory, 2021 Motivated by situations where the extreme values – as opposed to expected values in the classical stochastic multi-armed bandit (MAB) setting – are of interest, we propose a distribution-free algorithm for $\textit {extreme bandits}$ and characterize its
Sujay Bhatt, Ping Li, G. Samorodnitsky
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On Robustness for Spatio-Temporal Data
Mathematics, 2022 The spatio-temporal variogram is an important factor in spatio-temporal prediction through kriging, especially in fields such as environmental sustainability or climate change, where spatio-temporal data analysis is based on this concept.
Alfonso García-Pérez
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Applied Sciences, 2023 Recently the incorporation of artificial intelligence has allowed the development of valuable methodological advances in taphonomy. Some studies have achieved great precision in identifying the carnivore that produced tooth marks.
Miguel Ángel Maté-González +7 more
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Robust Regression with Density Power Divergence: Theory, Comparisons, and Data Analysis
Entropy, 2020 Minimum density power divergence estimation provides a general framework for robust statistics, depending on a parameter α , which determines the robustness properties of the method. The usual estimation method is numerical minimization of the power
Marco Riani +3 more
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Outlier Detection for Support Vector Machine using Minimum Covariance Determinant Estimator [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 The purpose of this paper is to identify the effective points on the performance of one of the important algorithm of data mining namely support vector machine.
M. Mohammadi, M. Sarmad
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Entropy, 2020 We review the sampling and results of the radiocarbon dating of the archaeological cloth known as the Shroud of Turin, in the light of recent statistical analyses of both published and raw data.
Paolo Di Lazzaro +5 more
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Robustne statistične metode, Dopplerjeva opazovanja in vpliv večpotja pri opazovanjih GNSS v oteženih razmerah ( = Robust statistics, Doppler observations and multipath effect in GNSS in adverse conditions) [PDF]
Geodetski Vestnik, 2016 High sensitivity GPS receivers represent an attempt at seamless navigation in conditions that are not favourable for satellite reception.
Klemen Kozmus Trajkovski +2 more
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Analysis of ‘Pre-Fit’ Datasets of gLAB by Robust Statistical Techniques
Stats, 2021 The GNSS LABoratory tool (gLAB) is an interactive educational suite of applications for processing data from the Global Navigation Satellite System (GNSS).
Maria Teresa Alonso +5 more
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Generalized Resilience and Robust Statistics [PDF]
Annals of Statistics, 2019 Robust statistics traditionally focuses on outliers, or perturbations in total variation distance. However, a dataset could be corrupted in many other ways, such as systematic measurement errors and missing covariates. We generalize the robust statistics
Banghua Zhu, Jiantao Jiao, J. Steinhardt
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