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Relevant bibliographies by topics / Nested separable covariances

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Academic literature on the topic 'Nested separable covariances'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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Journal articles on the topic "Nested separable covariances"

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Li, Jianfeng, Zheng Li, and Xiaofei Zhang. "Partial Angular Sparse Representation Based DOA Estimation Using Sparse Separate Nested Acoustic Vector Sensor Array." Sensors 18, no. 12 (2018): 4465. http://dx.doi.org/10.3390/s18124465.

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In this paper, the issue of direction of arrival (DOA) estimation is discussed, and a partial angular sparse representation (SR)-based method using a sparse separate nested acoustic vector sensor (SSN-AVS) array is developed. Traditional AVS array is improved by separating the pressure sensor array and velocity sensor array into two different sparse array geometries with nested relationship. This improved array geometry can achieve large degrees of freedom (DOF) after the extended vectorization of the cross-covariance matrix, and only partial SR of the angle is required by exploiting the cycli

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VanLeeuwen, Dawn M., Rolston St Hilaire, and Emad Y. Bsoul. "Statistical Analysis of Mixed Model Factorial Experiments with Missing Factor Combinations: The Case of Asynchronous Cyclic Drought Data." Journal of the American Society for Horticultural Science 131, no. 2 (2006): 201–8. http://dx.doi.org/10.21273/jashs.131.2.201.

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Statistical analysis of data from repeated measures experiments with missing factor combinations encounters multiple complications. Data from asynchronous cyclic drought experiments incorporate unequal numbers of drought cycles for different sources and provide an example of data both with repeated measures and missing factor combinations. Repeated measures data are problematic because typical analyses with PROC GLM do not allow the researcher to compare candidate covariance structures. In contrast, PROC MIXED allows comparison of covariance structures and several options for modeling serial c

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Tsybrovskyy, O., and A. Berghold. "Application of Multilevel Models to Morphometric Data. Part 2. Correlations." Analytical Cellular Pathology 25, no. 4 (2003): 187–91. http://dx.doi.org/10.1155/2003/562508.

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Multilevel organization of morphometric data (cells are “nested” within patients) requires special methods for studying correlations between karyometric features. The most distinct feature of these methods is that separate correlation (covariance) matrices are produced for every level in the hierarchy. In karyometric research, the cell‐level (i.e., within‐tumor) correlations seem to be of major interest. Beside their biological importance, these correlation coefficients (CC) are compulsory when dimensionality reduction is required. Using MLwiN, a dedicated program for multilevel modeling, we s

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Wideman, Laurie, Judy Y. Weltman, James T. Patrie, et al. "Synergy ofl-arginine and growth hormone (GH)-releasing peptide-2 on GH release: influence of gender." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 279, no. 4 (2000): R1455—R1466. http://dx.doi.org/10.1152/ajpregu.2000.279.4.r1455.

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We test the hypotheses that 1) growth hormone (GH)-releasing peptide-2 (G) synergizes with l-arginine (A), a compound putatively achieving selective somatostatin withdrawal and 2) gender modulates this synergy on GH secretion. To these ends, 18 young healthy volunteers (9 men and 9 early follicular phase women) each received separate morning intravenous infusions of saline (S) or A (30 g over 30 min) or G (1 μg/kg) or both, in randomly assigned order. Blood was sampled at 10-min intervals for later chemiluminescence assay of serum GH concentrations. Analysis of covariance revealed that the pre

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Deimling, Gary, Dyanna Burnham, and Gabrielle Beck. "Predictors of Racial Differences in Depression and Affect among Older adult, Long-term Cancer Survivors." Innovation in Aging 5, Supplement_1 (2021): 687. http://dx.doi.org/10.1093/geroni/igab046.2582.

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Abstract Research has long documented the psycho-social sequelae experienced by those who have been treated for and survived cancer. Depression, affect and other indicators of mood state have been an important focus of that research However, there is little research on racial differences in depression and affect outcomes or the specific cancer and age-related factors that predict them. The research to be presented is based on a 10 year, six wave NCI funded study of 471 older adult (age 60+), long-term cancer survivors randomly selected from the tumor registry of a comprehensive cancer treatmen

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Du, Hongfei, Si Wen, Yufei Guo, Fang Jin, and Brandon D. Gallas. "Single reader between-cases AUC estimator with nested data." Statistical Methods in Medical Research, July 5, 2022, 096228022211115. http://dx.doi.org/10.1177/09622802221111539.

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The area under the receiver operating characteristic curve (AUC) is widely used in evaluating diagnostic performance for many clinical tasks. It is still challenging to evaluate the reading performance of distinguishing between positive and negative regions of interest (ROIs) in the nested-data problem, where multiple ROIs are nested within the cases. To address this issue, we identify two kinds of AUC estimators, within-cases AUC and between-cases AUC. We focus on the between-cases AUC estimator, since our main research interest is in patient-level diagnostic performance rather than location-

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Thorson, James T. "Trees for fishes: The neglected role for phylogenetic comparative methods in fisheries science." Fish and Fisheries, November 16, 2023. http://dx.doi.org/10.1111/faf.12800.

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AbstractFisheries scientists compare processes among species to estimate species productivity, management reference points, and climate sensitivities. Ecologists have developed “phylogenetic comparative methods” (PCMs) to address these questions, but there is surprisingly little application of PCM within fisheries science. Here, I bridge this gap by introducing PCM (including Brownian motion, Ornstein–Uhlenbeck, and Pagel's kappa and lambda models for species covariance), thereby showing that PCM generalizes the nested taxonomic random effects that are commonly used in fisheries science. I nex

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Krenn, Simon, Manfred Hecking, Sebastian Mussnig, Siegfried Wassertheurer, and Christopher Mayer. "#2539 Effects of relative blood volume and ultrafiltration volume on pulse wave characteristics during hemodialysis." Nephrology Dialysis Transplantation 39, Supplement_1 (2024). http://dx.doi.org/10.1093/ndt/gfae069.1753.

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Abstract Background and Aims Measures of non-invasive pulse wave (PW) analysis can help to assess the status of the central cardiovascular system and to predict clinical outcomes, including morbidity and mortality. During hemodialysis (HD), fluid is extracted from blood. The resulting reduction in relative blood volume (RBV) and collected ultrafiltration volume (UFV) were hypothesized to substantially influence PW characteristics during HD. Volume overload (VO) is common in HD patients and may affect the chance of improving the cardiovascular status of patients during HD. The present study aim

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Dissertations / Theses on the topic "Nested separable covariances"

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Sanchez, Caballero Lizeth Katherine. "Geostatistical modeling of geotechnical variables considering directional dependence." Electronic Thesis or Diss., Université Paris sciences et lettres, 2022. https://thesesprivees.mines-paristech.fr/2022/2022UPSLM045_archivage.pdf.

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Avec la modélisation géologique et géométallurgique, la modélisation géotechnique est l'une des composantes essentielles de la planification et du développement de projets miniers à ciel ouvert et souterrains. Une caractéristique particulière de nombreuses variables géotechniques est d'être dépendante de la direction, c'est-à-dire que la mesure d'une carotte de sondage dépend non seulement de sa position géographique mais aussi de son orientation. Pour tenir compte de cette caractéristique, il est proposé de régionaliser les variables géotechniques dans un espace à cinq dimensions correspondan

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