Erratum to: Fast covariance estimation for sparse functional data
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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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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
Estimation of Sparse Massive MIMO-OFDM Channels With Approximately Common Support
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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
Bayesian estimation of sparse precision matrices in the presence of Gaussian measurement error
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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