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Covariance Hypotheses Which are Linear in Both the Covariance and the Inverse Covariance

open access: yesAnnals of Statistics, 1988
The author has studied the structure of statistical hypotheses for the family of normal distributions, which are linear in both the covariance and the inverse covariance. It is shown that such hypotheses are products of models each of which consist of either i.i.d. random vectors which have a covariance with a real, complex or quaternion structure or i.
exaly   +4 more sources

A Feasibility Study of Three-Dimensional Empirical Orthogonal Functions From the NASA JPL Ocean General Circulation Model: Computing, Visualization and Interpretation

open access: yesTellus: Series A, Dynamic Meteorology and Oceanography, 2023
Existing oceanic studies on either data reconstruction or dynamics often used 2-dimensional empirical orthogonal functions (EOF) for sea surface temperature (SST) and for deep layers.
Danielle Lafarga   +4 more
doaj   +1 more source

A Novel Error Criterion of Fundamental Matrix Based on Principal Component Analysis

open access: yesRemote Sensing, 2022
Estimating the fundamental matrix (FM) using the known corresponding points is a key step for three-dimensional (3D) scene reconstruction, and its uncertainty directly affects camera calibration and point-cloud calculation.
Yuxia Bian   +5 more
doaj   +1 more source

Covariance of Covariance Features for Image Classification [PDF]

open access: yesProceedings of International Conference on Multimedia Retrieval, 2014
In this paper we propose a novel image descriptor built by computing the covariance of pixel level features on densely sampled patches and encoding them using their covariance. Appropriate projections to the Euclidean space and feature normalizations are employed in order to provide a strong descriptor usable with linear classifiers. In order to remove
SERRA, GIUSEPPE   +3 more
openaire   +2 more sources

On Hilbert Covariants [PDF]

open access: yesCanadian Journal of Mathematics, 2014
AbstractLet F denote a binary form of order d over the complex numbers. If r is a divisor of d, then the Hilbert covariant Hr,d(F) vanishes exactly when F is the perfect power of an order r form. In geometric terms, the coefficients of H give defining equations for the image variety X of an embedding Pr ↪ Pd.
Abdesselam, Abdelmalek   +1 more
openaire   +2 more sources

Empirical Evidence of Co-Movement between the Canadian CDS, Stock Market And TSX 60 Volatility Index

open access: yesSEISENSE Journal of Management, 2020
Purpose- The prime objective of this study was to find the co-movement between the Canadian credit default swaps market, the Stock market and volatility index (TSX 60 Index) Design/ Methodology- To achieve this purpose, daily data containing 2870 ...
Ramzan Ali   +4 more
doaj   +1 more source

A comment on “Variability in plant nutrients reduces insect herbivore performance” [PDF]

open access: yesRethinking Ecology, 2019
In their recent contribution, Wetzel et al. [Wetzel et al. (2016) Variability in plant nutrients reduces insect herbivore performance. Nature 539: 425-427] predict that variance in the plant nutrient level reduces herbivore performance via the nonlinear ...
Apostolos-Manuel Koussoroplis   +4 more
doaj   +3 more sources

Overcoming floor and ceiling effects in knee arthroplasty outcome measurement: mapping the Oxford Knee Score and High Activity Arthroplasty Score onto a common scale

open access: yesBone & Joint Research, 2023
Aims: To map the Oxford Knee Score (OKS) and High Activity Arthroplasty Score (HAAS) items to a common scale, and to investigate the psychometric properties of this new scale for the measurement of knee health.
Conrad J. Harrison   +6 more
doaj   +1 more source

Generalized product-sum variogram models of the data of the Center of Marine Research

open access: yesLietuvos Matematikos Rinkinys, 2004
Environmental data usually depends on both spatial and temporal components. Therefore, it is essential to have statistical models to describe how the data vary across space and time.
Ingrida Krūminienė   +1 more
doaj   +3 more sources

Covariance and Correlation Analysis of Resting State Functional Magnetic Resonance Imaging Data Acquired in a Clinical Trial of Mindfulness-Based Stress Reduction and Exercise in Older Individuals

open access: yesFrontiers in Neuroscience, 2022
We describe and apply novel methodology for whole-brain analysis of resting state fMRI functional connectivity data, combining conventional multi-channel Pearson correlation with covariance analysis.
Abraham Z. Snyder   +17 more
doaj   +1 more source

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