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Rainbow plots, Bagplots and Boxplots for Functional Data
- Publication Year :
- 2022
- Publisher :
- Monash University, 2022.
-
Abstract
- We propose new tools for visualizing large amounts of functional data in the form of smooth curves. The proposed tools include functional versions of the bagplot and boxplot, which make use of the first two robust principal component scores, Tukey’s data depth and highest density regions. By-products of our graphical displays are outlier detection methods for functional data. We compare these new outlier detection methods with existing methods for detecting outliers in functional data, and show that our methods are better able to identify outliers. An R-package containing computer code and datasets is available in the online supplements.
- Subjects :
- Statistics and Probability
jel:C80
business.industry
Kernel density estimation
Functional boxplot
Pattern recognition
Kernel principal component analysis
jel:C14
Principal component analysis
Outlier
Discrete Mathematics and Combinatorics
Anomaly detection
Bagplot
Artificial intelligence
Statistics, Probability and Uncertainty
Highest density regions, Robust principal component analysis, Kernel density estimation, Outlier detection, Tukey's halfspace depth
business
Robust principal component analysis
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....fffbf6da2ba50bc98cd20650ba205d89
- Full Text :
- https://doi.org/10.26180/21225986