Results 11 to 20 of about 2,324,497 (297)
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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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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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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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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Tweet Analysis for Enhancement of COVID-19 Epidemic Simulation: A Case Study in Japan
Frontiers in Public Health, 2022 The COVID-19 pandemic, which began in December 2019, progressed in a complicated manner and thus caused problems worldwide. Seeking clues to the reasons for the complicated progression is necessary but challenging in the fight against the pandemic.
Vu Tran, Tomoko Matsui, Tomoko Matsui
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IEEE Access, 2022 Hybrid recommendation, which is based on collaborative filtering and supplemented with auxiliary content information, is being actively researched due to its ability to overcome the cold-start problem.
Iwao Tanuma, Tomoko Matsui
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Rating Proportion-Aware Binomial Matrix Factorization for Collaborative Filtering
IEEE Access, 2023 Addressing biases in observed data is a major challenge in statistical and machine learning applications. This challenge also exists in recommendation systems, and various methods based on causal inference are being investigated.
Iwao Tanuma, Tomoko Matsui
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COVID-19 case prediction using emotion trends via Twitter emoji analysis: A case study in Japan
Frontiers in Public Health, 2023 IntroductionThe worldwide COVID-19 pandemic, which began in December 2019 and has lasted for almost 3 years now, has undergone many changes and has changed public perceptions and attitudes.
Vu Tran, Tomoko Matsui, Tomoko Matsui
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Frontiers in Genetics, 2022 Proteins need to interact with different ligands to perform their functions. Among the ligands, the metal ion is a major ligand. At present, the prediction of protein metal ion ligand binding residues is a challenge. In this study, we selected Zn2+, Cu2+,
Sixi Hao +13 more
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Statistical interaction modeling of bovine herd behaviors [PDF]
, 2011 While there has been interest in modeling the group behavior of herds or flocks, much of this work has focused on simulating their collective spatial motion patterns which have not accounted for individuality in the herd and instead assume a homogenized ...
Andonovic, I. +7 more
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