An extended Babai method for estimating linear model based integer parameters
Xiao-Wen Chang,
Zhilong Chen and
Jinming Wen
Econometrics and Statistics, 2024, vol. 29, issue C, 238-251
Abstract:
Estimating the integer parameter vector in a linear model with additive Gaussian noise is considered. First, Babai’s nearest plane method is extended to a more general estimation method in order to give a better estimator, and its computational cost is analyzed. Then, lower and upper bounds on the success probability of the extended Babai estimator are derived. Based on this theory, a specific (K,L) extended Babai estimation method is proposed, where K and L are two parameters. Numerical results confirm the theoretical findings and show the advantages of the (K,L) extended Babai method over an existing one.
Keywords: Linear model; Integer parameter estimation; Babai estimator; Success probability (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S2452306222000089
Full text for ScienceDirect subscribers only. Contains open access articles
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecosta:v:29:y:2024:i:c:p:238-251
DOI: 10.1016/j.ecosta.2022.01.008
Access Statistics for this article
Econometrics and Statistics is currently edited by E.J. Kontoghiorghes, H. Van Dijk and A.M. Colubi
More articles in Econometrics and Statistics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().