Incorporating covariate information in the covariance structure of misaligned spatial data
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DOI: 10.1002/env.2623
Abstract: Incorporating covariates in the second‐ structure of spatial processes is an effective way of building flexible nonstationary covariance models. Fitting these covariances requires covariates to already exist at locations where there is response data. However,… read more here.
Keywords: covariance structure; response data; structure; covariate ... See more keywords
Geomorphic covariance structure of a confined mountain river reveals landform organization stage threshold
Sign Up to like & getrecommendations! Published in 2021 at "Earth Surface Processes and Landforms"
DOI: 10.1002/esp.5195
Abstract: Significant growth in mountain rivers research since 1990 has promoted the concept that canyon‐confined mountain rivers have complex topographic features nested from base‐ to flood‐stages due to canyon structure and abundant large bed elements. Nesting… read more here.
Keywords: mountain; geomorphic covariance; river; covariance structure ... See more keywords
Bayesian covariance structure modelling for measurement invariance testing
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DOI: 10.1007/s41237-020-00119-3
Abstract: In a Bayesian Covariance Structure Model (BCSM) the dependence structure implied by random item parameters is modelled directly through the covariance structure. The corresponding measurement invariance assumption for an item is represented by an additional… read more here.
Keywords: invariance; covariance structure; bayesian covariance; invariance testing ... See more keywords
Supervised classifiers for high-dimensional higher-order data with locally doubly exchangeable covariance structure
Sign Up to like & getrecommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2016.1275695
Abstract: ABSTRACT We explore the performance accuracy of the linear and quadratic classifiers for high-dimensional higher-order data, assuming that the class conditional distributions are multivariate normal with locally doubly exchangeable covariance structure. We derive a two-stage… read more here.
Keywords: high dimensional; block; doubly exchangeable; covariance structure ... See more keywords
Metabolic status and lifestyle factors associated with gallbladder polyps: a covariance structure analysis
Sign Up to like & getrecommendations! Published in 2018 at "BMC Gastroenterology"
DOI: 10.1186/s12876-018-0882-z
Abstract: BackgroundGallbladder Polyps (GBP) are highly prevalent in China; however, the etiology of GBP has not been clearly defined. This study explored the associations between lifestyle factors and GBP and whether it mediated by metabolic factors… read more here.
Keywords: covariance structure; structure analysis; analysis; lifestyle factors ... See more keywords
Possible increase in insulin resistance and concealed glucose-coupled potassium-lowering mechanisms during acute coronary syndrome documented by covariance structure analysis
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DOI: 10.1371/journal.pone.0176435
Abstract: Objective Although glucose-insulin-potassium (GIK) therapy ought to be beneficial for ischemic heart disease in general, variable outcomes in many clinical trials of GIK in acute coronary syndrome (ACS) had a controversial impact. This study was… read more here.
Keywords: insulin; potassium; covariance structure; analysis ... See more keywords
Conflicting relationship between age-dependent disorders, valvular heart disease and coronary artery disease by covariance structure analysis: Possible contribution of natriuretic peptide
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DOI: 10.1371/journal.pone.0181206
Abstract: Background It is conceivable that contemporary valvular heart disease (VHD) is affected largely by an age-dependent atherosclerotic process, which is similar to that observed in coronary artery disease (CAD). However, a comorbid condition of VHD… read more here.
Keywords: vhd cad; covariance structure; analysis; cad ... See more keywords
Capturing a Change in the Covariance Structure of a Multivariate Process
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DOI: 10.3390/sym14010156
Abstract: This research is inspired from monitoring the process covariance structure of q attributes where samples are independent, having been collected from a multivariate normal distribution with known mean vector and unknown covariance matrix. The focus… read more here.
Keywords: change covariance; covariance; covariance structure; multivariate ... See more keywords
Mean Equality Tests for High-Dimensional and Higher-Order Data with k-Self Similar Compound Symmetry Covariance Structure
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14020291
Abstract: An extension of the D2 test statistic to test the equality of mean for high-dimensional and k-th order array-variate data using k-self similar compound symmetry (k-SSCS) covariance structure is derived. The k-th order data appear… read more here.
Keywords: order data; order; covariance structure; high dimensional ... See more keywords