Modeling supernovae light curves: An application of hierarchical smoothing splines

DOI10.1002/sam.11295OpenAlexW1920103823MaRDI QIDQ4970019

C. Shane Reese, Erika L. Ball, Brittany S. Spencer

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.11295

zbMATH Keywords

Gaussian processescosmologyBayesiansemiparametric modeling

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Uses Software

• fda (R)

Cites Work

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• Oscillation matrices with spline smoothing
• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• Functional data analysis.
• Smoothing by spline functions.
• Bayesian Smoothing and Regression Splines for Measurement Error Problems
• Measurements of Ω and Λ from 42 High‐Redshift Supernovae
• Bayesian Reasoning and Machine Learning
• A practical guide to splines.

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