Quasar Identification Using Multivariate Probability Density Estimated from Nonparametric Conditional Probabilities

Quasar Identification Using Multivariate Probability Density Estimated from Nonparametric Conditional Probabilities

Nonparametric estimation for a probability density function that describes multivariate data has typically been addressed by kernel density estimation (KDE). A novel density estimator recently developed by Farmer and Jacobs offers an alternative high-throughput automated approach to univariate nonpa...

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Bibliographic Details
Main Authors: Jenny Farmer, Eve Allen, Donald J. Jacobs
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Mathematics
Subjects:
nonparametric multivariate density estimation
conditional probability product array
maximum entropy method
ordered statistics
probability density based binary classification
ROC
Online Access:https://www.mdpi.com/2227-7390/11/1/155

Internet

https://www.mdpi.com/2227-7390/11/1/155

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