Periodicity detection in irregularly sampled light curves by robust regression and outlier detection

DOI10.1002/sam.11178OpenAlexW1995870364WikidataQ62398306 ScholiaQ62398306MaRDI QIDQ4969880

Michael Backes, Roland Fried, A. Thieler, Wolfgang Rhode

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.11178

zbMATH Keywords

time seriesperiodogramcramér von Mises distanceepoch foldinglomb scarglem-regressionphase dispersion minimization

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Related Items (1)

Unsupervised classification of eclipsing binary light curves throughk-medoids clustering

Uses Software

• R
• quantreg
• MASS (R)
• robustbase

Cites Work

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• Additive models for quantile regression: model selection and confidence bands
• Period analysis of variable stars: temporal dependence and local optima
• Fourier analysis with unequally-spaced data
• Robust regression with both continuous and categorical predictors
• A fast robust method for fitting gamma distributions
• The Identification of Multiple Outliers
• Statistical Analysis of Financial Data in S-Plus
• Least Median of Squares Regression
• Period Analysis of Variable Stars by Robust Smoothing
• Periodic Smoothing of Time Series
• Using circulant symmetry to model featureless objects
• A Nonlinear Method for Robust Spectral Analysis
• Using the periodogram to estimate period in nonparametric regression
• Robust Statistics

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