Estimating a common period for a set of irregularly sampled functions with applications to periodic variable star data

DOI10.1214/15-AOAS885zbMath1454.62534arXiv1412.6520OpenAlexW3105777000WikidataQ57432832 ScholiaQ57432832MaRDI QIDQ288570

Richard G. Baraniuk, James P. Long, Eric C. Chi

Publication date: 27 May 2016

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

Full work available at URL: https://arxiv.org/abs/1412.6520

zbMATH Keywords

block coordinate descentfunctional dataastrostatisticspenalized likelihoodMM algorithmperiod estimation

Mathematics Subject Classification ID

Functional data analysis (62R10) Applications of statistics to physics (62P35) Statistical astronomy (85A35)

Related Items (2)

Estimating a common period for a set of irregularly sampled functions with applications to periodic variable star data ⋮ Simultaneous inference of periods and period-luminosity relations for Mira variable stars

Uses Software

• ElemStatLearn
• SpatioTemporal

Cites Work

• Estimating a common period for a set of irregularly sampled functions with applications to periodic variable star data
• A two-way regularization method for MEG source reconstruction
• Monotonicity of quadratic-approximation algorithms
• Sufficient conditions for the convergence of monotonic mathematical programming algorithms
• The Analysis of Two-Way Functional Data Using Two-Way Regularized Singular Value Decompositions
• Spatio-temporal modelling of disease mapping of rates
• A Generalized Least-Square Matrix Decomposition
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• Proper multivariate conditional autoregressive models for spatial data analysis
• Unnamed Item
• Unnamed Item

This page was built for publication: Estimating a common period for a set of irregularly sampled functions with applications to periodic variable star data