Results 41 to 50 of about 560,735 (220)
Single-index modulated multiple testing
, 2014 In the context of large-scale multiple testing, hypotheses are often accompanied with certain prior information. In this paper, we present a single-index modulated (SIM) multiple testing procedure, which maintains control of the false discovery rate ...
Du, Lilun, Zhang, Chunming
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Wavelet Cross-correlation in Bivariate Time-Series Analysis
Trends in Computational and Applied Mathematics, 2018 The estimation of the correlation between independent data sets using classical estimators, such as the Pearson coefficient, is well established in the literature. However, such estimators are inadequate for analyzing the correlation among dependent data.
Eniuce Menezes de Souza +1 more
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Chain Plot: A Tool for Exploiting Bivariate Temporal Structures [PDF]
, 2004 In this paper we present a graphical tool useful for visualizing the cyclic behaviour of bivariate time series. We investigate its properties and link it to the asymmetry of the two variables concerned.
A Zempléni +5 more
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Global Projection of Flood Risk With a Bivariate Framework Under 1.5–3.0°C Warming Levels
Earth's FutureGlobal warming increases the atmospheric water‐holding capacity, consequently altering the frequency, and intensity of extreme hydrological events.
Xi Huang +5 more
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Time–frequency analysis of bivariate signals
Applied and Computational Harmonic Analysis, 2019 Many phenomena are described by bivariate signals or bidimensional vectors in applications ranging from radar to EEG, optics and oceanography. The time-frequency analysis of bivariate signals is usually carried out by analyzing two separate quantities, e.g. rotary components.
Flamant, Julien +2 more
openaire +5 more sources
Cogent Social SciencesUnsheltered homelessness is associated with a myriad of barriers including unmet medical, mental health, physical, and social needs. This study evaluated a Street Medicine approach to examine and reduce the complex barriers to care by providing ...
Linda K. Perna +6 more
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Global Health Research and Policy, 2017 Background In disease mapping field, researchers often encounter data from multiple sources. Such data are fraught with challenges such as lack of a representative sample, often incomplete and most of which may have measurement errors, and may be ...
D. Ntirampeba, I. Neema, L. N. Kazembe
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Bivariate analysis of typical hydrological series of the yellow river [PDF]
International Journal of Computational Intelligence Systems, 2014 This paper uses Gumbel-Hougaard (G-H) copula, Clayton copula and Frank copula to construct joint distributions of hydrological variables of the two typical stations on the Yellow River Region, including the annual maximum flood magnitude (AMFM), the ...
Xin Tong +4 more
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Description of the Joint Probability of Significant Wave Height and Mean Wave Period
Journal of Marine Science and Engineering, 2022 The bivariate probability distribution of significant wave heights and mean wave periods has an indispensable guiding role in the implementation of offshore engineering, which has attracted great attention.
Mingwen Zhao, Xiaodong Deng, Jichao Wang
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Frontiers in Genetics, 2023 In genetic association studies, the multivariate analysis of correlated phenotypes offers statistical and biological advantages compared to analyzing one phenotype at a time. The joint analysis utilizes additional information contained in the correlation
Ibrahim Hossain Sajal, Swati Biswas
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