Quasar identification using multivariate probability density estimated from nonparametric conditional probabilities

HIGHLIGHTS

  • who: Jenny Farmer et al. from the Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA have published the paper: Quasar Identification Using Multivariate Probability Density Estimated from Nonparametric Conditional Probabilities, in the Journal: Mathematics 2023, 11, 155. of 30/Oct/2022
  • what: In the rest of this paper, a multivariate extension is developed in Section 2 and benchmarked against synthetic data to demonstrate accuracy and performance. The authors develop a unique approach to classifying astronomical data using multivariate density estimates. The authors provide in Supplemental Materials the data set . . .

     

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