Results 11 to 20 of about 34,159,249 (310)
Frontiers in Public Health, 2021 In this review, we have discussed the different statistical modeling and prediction techniques for various infectious diseases including the recent pandemic of COVID-19.
S. K. Yadav, Y. Akhter
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Analysing First Birth Interval by A CART Survival Tree [PDF]
International Journal of Fertility and Sterility, 2020 Background: Birth spacing, especially the first birth interval (FBI), is a suitable index to investigate the delayed fertilitythat results in a low fertility pattern.
Mahsa Saadati, Arezoo Bagheri
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Synthetic Aperture Radar Image Statistical Modeling: Part One-Single-Pixel Statistical Models
IEEE Geoscience and Remote Sensing Magazine, 2021 With the rapid development of spaceborne synthetic aperture radar (SAR) technology and the acquisition of a large volume of SAR images, SAR image interpretation has become an urgent and difficult research topic.
Dong-Xiao Yue +3 more
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Statistical modeling: the three cultures [PDF]
Issue 5.1, Winter 2023, 2020 Two decades ago, Leo Breiman identified two cultures for statistical modeling. The data modeling culture (DMC) refers to practices aiming to conduct statistical inference on one or several quantities of interest.
Adel Daoud, Devdatt P. Dubhashi
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BioData Mining, 2020 Background Various combinations of ultrasonographic (US) characteristics are increasingly utilized to classify thyroid nodules. But they lack theories, and heavily depend on radiologists’ experience, and cannot correctly classify thyroid nodules.
Dan Chen +5 more
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Variational Bayesian Inference in High-Dimensional Linear Mixed Models
Mathematics, 2022 In high-dimensional regression models, the Bayesian lasso with the Gaussian spike and slab priors is widely adopted to select variables and estimate unknown parameters. However, it involves large matrix computations in a standard Gibbs sampler.
Jieyi Yi, Niansheng Tang
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Data-Driven Framework for Uncovering Hidden Control Strategies in Evolutionary Analysis
Mathematical and Computational Applications, 2023 We devised a data-driven framework for uncovering hidden control strategies used by an evolutionary system described by an evolutionary probability distribution. This innovative framework enables deciphering of the concealed mechanisms that contribute to
Nourddine Azzaoui +2 more
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Southern Europe and western Asian marine heatwaves (SEWA-MHWs): a dataset based on macroevents [PDF]
Earth System Science Data, 2023 Marine heatwaves (MHWs) induce significant impacts on marine ecosystems. There is a growing need for knowledge about extreme climate events to better inform decision-makers on future climate-related risks.
G. Bonino +4 more
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Mathematics, 2023 Synaptic transmission is the main process providing cross-connecting activity among neurons in the central nervous system (CNS). In the present study, the 3D mathematical model of a neuronal bouton with a cluster localization of glycine receptors (GlyRs)
Yaroslav R. Nartsissov +1 more
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Behavior of the iterative ensemble-based variational method in nonlinear problems [PDF]
Nonlinear Processes in Geophysics, 2021 The behavior of the iterative ensemble-based data assimilation algorithm is discussed. The ensemble-based method for variational data assimilation problems, referred to as the 4D ensemble variational method (4DEnVar), is a useful tool for data ...
S. Nakano, S. Nakano
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