Robust multivariate and functional archetypal analysis with application to financial time series analysis
From MaRDI portal
Publication:2154385
DOI10.1016/j.physa.2018.12.036OpenAlexW2895505654MaRDI QIDQ2154385
Publication date: 19 July 2022
Published in: Physica A (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1810.00919
Related Items (3)
Archetypal curves in the shape and size space: discovering the salient features of curved big data by representative extremes ⋮ Archetypal analysis for ordinal data ⋮ Robust archetypoids for anomaly detection in big functional data
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Probabilistic archetypal analysis
- Wavelet-based fuzzy clustering of time series
- Clustering financial time series: new insights from an extended hidden Markov model
- Descriptive matrix factorization for sustainability. Adopting the principle of opposites
- Wavelets-based clustering of multivariate time series
- Weighted and robust archetypal analysis
- Curves discrimination: a nonparametric functional approach
- Robust forecasting of mortality and fertility rates: a functional data approach
- Applied functional data analysis. Methods and case studies
- Archetypal shapes based on landmarks and extension to handle missing data
- Robust fuzzy clustering of multivariate time trajectories
- Functional archetype and archetypoid analysis
- Archetypoids: a new approach to define representative archetypal data
- M-estimators of location for functional data
- GARCH-based robust clustering of time series
- Resistant estimates for high dimensional and functional data based on random projections
- Change point analysis of imprecise time series
- Functional data analysis.
- On the use of archetypes as benchmarks
- Robust Locally Weighted Regression and Smoothing Scatterplots
- Finding Groups in Data
- Archetypal Analysis
- The Fitting of Power Series, Meaning Polynomials, Illustrated on Band-Spectroscopic Data
- FUZZY C-MEANS CLUSTERING MODELS FOR MULTIVARIATE TIME-VARYING DATA: DIFFERENT APPROACHES
- Interval Archetypes: A New Tool for Interval Data Analysis
- Archetypal analysis for data‐driven prototype identification
- On the Concept of Depth for Functional Data
- Robust Statistics
- Robust Estimation of a Location Parameter
This page was built for publication: Robust multivariate and functional archetypal analysis with application to financial time series analysis