Improving prediction performance of stellar parameters using functional models

DOI10.1080/02664763.2015.1106448OpenAlexW3105427800MaRDI QIDQ5138095

Sylvain Robbiano, Michel Curé, Matthieu Saumard

Publication date: 3 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1510.05968

zbMATH Keywords

regressionspectraastronomyprediction intervalsfunctional data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Multivariate analysis of variance for functional data

Uses Software

• fda (R)

Cites Work

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• Bootstrap Prediction Intervals for Regression
• Ordering and Selecting Components in Multivariate or Functional Data Linear Prediction
• Classification Using Censored Functional Data
• Selecting the Number of Principal Components in Functional Data
• Robust Estimation of a Location Parameter
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• Achieving near Perfect Classification for Functional Data

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