Skip to main navigation
Skip to search
Skip to main content
KAUST PORTAL FOR RESEARCHERS AND STUDENTS Home
Home
Profiles
Research units
Research output
Press/Media
Prizes
Courses
Equipment
Student theses
Datasets
Search by expertise, name or affiliation
Bivariate Functional Quantile Envelopes with Application to Radiosonde Wind Data
Gaurav Agarwal,
Ying Sun
Statistics
Computer, Electrical and Mathematical Sciences and Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
2
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Bivariate Functional Quantile Envelopes with Application to Radiosonde Wind Data'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Bivariate
100%
Quantile
100%
Outlier Detection
100%
Functional Data
66%
Bivariate Distribution
66%
Wind Speed
66%
Gaussian Distribution
33%
Simulation Study
33%
Atmospheric Pressure
33%
Earth and Planetary Sciences
Radiosondes
100%
Quantile
100%
Wind Direction
33%
Wind Velocity
33%
Atmospheric Pressure
16%
Wind Profiles
16%
Upper Atmosphere
16%
Computer Science
Outlier Detection
100%
Functional Data
66%
Visualization Tool
33%
Simulation Study
33%
Detection Procedure
33%
Atmospheric Pressure
33%
Keyphrases
Bivariate Functional Data
40%
Outlier Prediction
20%
Quantile Methods
20%