Estimating the number of components by a data independent penalty function approach

DOI10.1016/S0378-3758(02)00350-6zbMath1022.62003MaRDI QIDQ1408735

Debasis Kundu, Swagata Nandi

Publication date: 25 September 2003

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

penalty functionstatistical signal processingstrong consistencyinformation theoretic criteriatextures classifications

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Statistical aspects of information-theoretic topics (62B10)

Cites Work

• Estimating the number of signals in the presence of white noise
• Nonlinear regression with multidimensional indices.
• A two-dimensional Prony's method for spectral estimation
• Estimating two-dimensional frequencies by matrix enhancement and matrix pencil
• Estimating the number of sinusoids and its performance analysis
• Asymptotic properties of the least squares estimators of a two-dimensional model.
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Estimating the number of components by a data independent penalty function approach