Outlier Detection in Multivariate Time Series by Projection Pursuit
From MaRDI portal
Publication:5754973
DOI10.1198/016214505000001131zbMath1119.62360OpenAlexW1998823014MaRDI QIDQ5754973
Daniel Peña, Pedro Galeano, Ruey S. Tsay
Publication date: 20 August 2007
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1198/016214505000001131
Multivariate analysis (62H99) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)
Related Items (14)
Unnamed Item ⋮ Kurtosis removal for data pre-processing ⋮ Robust estimation for bivariate integer-valued autoregressive models based on minimum density power divergence ⋮ Wavelet-based detection of outliers in financial time series ⋮ Robust exponential smoothing of multivariate time series ⋮ Data science, big data and statistics ⋮ Kurtosis Maximization for Outlier Detection in GARCH Models ⋮ Exact variable-length anomaly detection algorithm for univariate and multivariate time series ⋮ Anomaly Detection in Streaming Nonstationary Temporal Data ⋮ Robust estimation for vector autoregressive models ⋮ A robust procedure to build dynamic factor models with cluster structure ⋮ The use of cumulative sums for detection of changepoints in the rate parameter of a Poisson process ⋮ On the classification of financial data with domain agnostic features ⋮ Quantile-based fuzzy \(C\)-means clustering of multivariate time series: robust techniques
This page was built for publication: Outlier Detection in Multivariate Time Series by Projection Pursuit