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   Articles with "covariance matrices" as a keyword



Human interaction recognition based on sparse representation of feature covariance matrices

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recommendations! Published in 2018 at "Journal of Central South University"

DOI: 10.1007/s11771-018-3738-3

Abstract: A new method for interaction recognition based on sparse representation of feature covariance matrices was presented. Firstly, the dense trajectories (DT) extracted from the video were clustered into different groups to eliminate the irrelevant trajectories,… read more here.

Keywords: covariance matrices; feature; feature covariance; interaction recognition ... See more keywords
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Directional monitoring and diagnosis for covariance matrices

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recommendations! Published in 2020 at "Journal of Applied Statistics"

DOI: 10.1080/02664763.2020.1867830

Abstract: Statistical surveillance for covariance matrices has attracted increasing attention recently. Many approaches have been developed for monitoring general shifts that are arbitrary deviations, as wel... read more here.

Keywords: covariance matrices; monitoring diagnosis; diagnosis covariance; directional monitoring ... See more keywords

Robust tests of the equality of two high-dimensional covariance matrices

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recommendations! Published in 2020 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2020.1788085

Abstract: Abstract It is of great importance in both theory and application to test the equality of two covariance matrices and . This article proposes a new robust test based on spatial sign statistic regarding in… read more here.

Keywords: robust tests; high dimensional; covariance matrices; tests equality ... See more keywords
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Homogeneity test of several covariance matrices with high-dimensional data

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

DOI: 10.1080/10543406.2021.1923524

Abstract: ABSTRACT This article not only presents a test based on the well-known Box test for testing the equality of several covariance matrices with high-dimensional data, but also gives the asymptotic distribution of the proposed test.… read more here.

Keywords: high dimensional; covariance matrices; dimensional data; several covariance ... See more keywords

The simultaneous test of equality and circularity of several covariance matrices

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recommendations! Published in 2018 at "Journal of statistical theory and practice"

DOI: 10.1080/15598608.2018.1482806

Abstract: The equality of covariance matrices test is widely used in many statistical procedures, and recently, matrices with a circular pattern, which are particular cases of the well-known Toeplitz matrices, have been considered in practical applications.… read more here.

Keywords: covariance matrices; equality circularity; test;

Semi-analytical covariance matrices for two-point correlation function for DESI 2024 data

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recommendations! Published in 2024 at "Journal of Cosmology and Astroparticle Physics"

DOI: 10.1088/1475-7516/2025/01/145

Abstract: We present an optimized way of producing the fast semi-analytical covariance matrices for the Legendre moments of the two-point correlation function, taking into account survey geometry and mimicking the non-Gaussian effects. We validate the approach… read more here.

Keywords: analytical covariance; two point; covariance; point correlation ... See more keywords

2D-FFTLog: efficient computation of real-space covariance matrices for galaxy clustering and weak lensing

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recommendations! Published in 2020 at "Monthly Notices of the Royal Astronomical Society"

DOI: 10.1093/mnras/staa1726

Abstract: Accurate covariance matrices for two-point functions are critical for inferring cosmological parameters in likelihood analyses of large-scale structure surveys. Among various approaches to obtaining the covariance, analytic computation is much faster and less noisy than… read more here.

Keywords: real space; covariance matrices; computation; galaxy clustering ... See more keywords

Comparing approximate methods for mock catalogues and covariance matrices – I. Correlation function

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recommendations! Published in 2018 at "Monthly Notices of the Royal Astronomical Society"

DOI: 10.1093/mnras/sty2757

Abstract: This paper is the first in a set that analyses the covariance matrices of clustering statistics obtained from several approximate methods for gravitational structure formation. We focus here on the covariance matrices of anisotropic two-point… read more here.

Keywords: covariance matrices; approximate methods; correlation function; body ... See more keywords
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Large covariance matrices: accurate models without mocks

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recommendations! Published in 2019 at "Monthly Notices of the Royal Astronomical Society"

DOI: 10.1093/mnras/stz1359

Abstract: Covariance matrix estimation is a persistent challenge for cosmology. We focus on a class of model covariance matrices that can be generated with high accuracy and precision, using a tiny fraction of the computational resources… read more here.

Keywords: matrices accurate; covariance matrices; large covariance; accurate models ... See more keywords

Millimeter Wave Beamforming Codebook Design via Learning Channel Covariance Matrices Over Riemannian Manifolds

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3222032

Abstract: Covariance matrices of spatially-correlated wireless channels in millimeter wave (mmWave) vehicular networks can be employed to design environment-aware beamforming codebooks. Such covariance matrices can be represented over non-Euclidean (i.e., curved surfaces) manifolds, thanks to their… read more here.

Keywords: covariance matrices; channel covariance; covariance; millimeter wave ... See more keywords

Covariance Matrix Reconstruction of GRACE Monthly Solutions Using Common Factors and Individual Formal Errors

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recommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2024.3405560

Abstract: Accurate error covariance is crucial for postprocessing gravity recovery and climate experiment (GRACE) gravity field solutions in terms of spherical harmonic coefficients (SHCs). Unfortunately, most GRACE SHC products only provide formal errors of SHCs due… read more here.

Keywords: grace; covariance matrix; covariance; covariance matrices ... See more keywords