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   Articles with "estimation sparse" as a keyword



Erratum to: Fast covariance estimation for sparse functional data

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recommendations! Published in 2018 at "Statistics and Computing"

DOI: 10.1007/s11222-017-9768-0

Abstract: The article, “Fast covariance estimation for sparse functional data”, written by Luo Xiao, Cai Li, William Checkley and Ciprian Crainiceanu, was originally published electronically on the publisher’s Internet portal (currently SpringerLink) on 11 April 2017… read more here.

Keywords: sparse functional; fast covariance; covariance estimation; estimation sparse ... See more keywords

Variance estimation for sparse ultra-high dimensional varying coefficient models

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recommendations! Published in 2019 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2018.1429627

Abstract: ABSTRACT This paper considers the problem of variance estimation for sparse ultra-high dimensional varying coefficient models. We first use B-spline to approximate the coefficient functions, and discuss the asymptotic behavior of a naive two-stage estimator… read more here.

Keywords: estimation sparse; ultra high; coefficient; sparse ultra ... See more keywords
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Estimation of Sparse Massive MIMO-OFDM Channels With Approximately Common Support

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recommendations! Published in 2017 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2017.2657620

Abstract: In this letter, we reveal that in the massive multiple-input multiple-output system with large bandwidth, sub-channels of orthogonal frequency division multiplexing share approximately sparse common support due to the frequency difference of subcarriers. We use… read more here.

Keywords: estimation sparse; massive mimo; sparse massive; mimo ofdm ... See more keywords

DOA Estimation with Sparse Bayesian Learning Using Hierarchical Half-Cauchy Prior with Spectra Refinement Strategy

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recommendations! Published in 2025 at "IEEE Transactions on Aerospace and Electronic Systems"

DOI: 10.1109/taes.2025.3571860

Abstract: Advancements in sparse signal recovery theory have significantly enhanced direction-of-arrival (DOA) estimation performance, a critical aspect of array signal processing with a wide range of applications. This article transforms the conventional complex-valued sparse representation for… read more here.

Keywords: half cauchy; estimation; estimation sparse; strategy ... See more keywords

Bayesian estimation of sparse precision matrices in the presence of Gaussian measurement error

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recommendations! Published in 2021 at "Electronic Journal of Statistics"

DOI: 10.1214/21-ejs1904

Abstract: Estimation of sparse, high-dimensional precision matrices is an important and challenging problem. Existing methods all assume that observations can be made precisely but, in practice, this often is not the case; for example, the instruments… read more here.

Keywords: error; measurement error; estimation sparse; precision matrices ... See more keywords

DC algorithm for estimation of sparse Gaussian graphical models

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recommendations! Published in 2024 at "PLOS ONE"

DOI: 10.1371/journal.pone.0315740

Abstract: Sparse estimation of a Gaussian graphical model (GGM) is an important technique for making relationships between observed variables more interpretable. Various methods have been proposed for sparse GGM estimation, including the graphical lasso that uses… read more here.

Keywords: algorithm estimation; gaussian graphical; sparse gaussian; estimation ... See more keywords