Sparse Multivariate Analysis Reveals Dissociable White Matter Networks for Cognitive and Motor Processing Speed [PDF]
Brain SciencesBackground: Reaction time (RT) is a fundamental measure of information processing speed in cognitive neuroscience and is influenced by both structural and functional brain properties.
Shahwar Yasir +6 more
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AI-Carbon-Energy: Spillover effects and drivers in interconnected markets [PDF]
iScienceSummary: This study explores the spillover effects between the AI market, international carbon market, and energy markets based on a time-varying parameter vector autoregression model.
Mingming Zhang +3 more
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Exploring morphological traits related to potential milling yield based on image-analysis [PDF]
Scientific ReportsWheat (Triticum aestivum L.) is a globally essential cereal crop whose productivity and processing efficiency are critically influenced by the morphological traits of the grain.
Anh Tuan Le +6 more
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A multiparameter diagnostic model based on MRI volumetric ADC histogram and clinical variables accurately differentiates thymic epithelial tumors from mediastinal lymphomas [PDF]
BMC Medical ImagingBackground The management and prognosis of each type of anterior mediastinal mass differ substantially. Radical thymectomy is regarded as the preferred surgical approach for resectable thymic epithelial tumors (TETs), whereas chemotherapy is the ...
Luna Wang +5 more
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More on the Supremum Statistic to Test Multivariate Skew-Normality
Computation, 2021 This review is about verifying and generalizing the supremum test statistic developed by Balakrishnan et al. Exhaustive simulation studies are conducted for various dimensions to determine the effect, in terms of empirical size, of the supremum test ...
Timothy Opheim, Anuradha Roy
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Comparison of normality test methods for some soil properties in the arid land of South Khorasan. [PDF]
Desert, 2023 Statistical assumptions are the basis of many univariate and multivariate statistical tests. Normality is the most basic assumption of multivariate analysis in plant ecology.
M. Rostampour, F. Azarmi-Atajan
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Some Statistical Aspects of the Truncated Multivariate Skew-t Distribution
Mathematics, 2022 The multivariate skew-t distribution plays an important role in statistics since it combines skewness with heavy tails, a very common feature in real-world data.
Raúl Alejandro Morán-Vásquez +2 more
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Mathematics, 2021 Non-normality is a usual fact when dealing with gene expression data. Thus, flexible models are needed in order to account for the underlying asymmetry and heavy tails of multivariate gene expression measures.
Jorge M. Arevalillo, Hilario Navarro
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Fast inference methods for high-dimensional factor copulas
Dependence Modeling, 2022 Gaussian factor models allow the statistician to capture multivariate dependence between variables. However, they are computationally cumbersome in high dimensions and are not able to capture multivariate skewness in the data.
Verhoijsen Alex, Krupskiy Pavel
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Frontiers in Oncology, 2021 PurposeNeuroendocrine tumors (NET) are rare cancers with variable behavior. A better understanding of prognosis would aid individualized management. The aim of this hypothesis-generating pilot study was to investigate the prognostic potential of tumor ...
Charlotte Atkinson +7 more
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