Enhanced safety prediction of vault settlement in urban tunnels using the pair-copula and Bayesian network
X Wu, Z Feng, Y Liu, Y Qin, T Yang, J Duan - Applied Soft Computing, 2023 - Elsevier
To analyze and study the key control factors of the risk of vault deformation in tunnels
excavated at small clear distances, a risk assessment method based on a pair-copula …
excavated at small clear distances, a risk assessment method based on a pair-copula …
Computational frameworks integrating deep learning and statistical models in mining multimodal omics data
Background In health research, multimodal omics data analysis is widely used to address
important clinical and biological questions. Traditional statistical methods rely on the strong …
important clinical and biological questions. Traditional statistical methods rely on the strong …
Best crop rotation selection with GIS-AHP technique using soil nutrient variability
C Singha, KC Swain, SK Swain - Agriculture, 2020 - mdpi.com
Crop selections and rotations are very important in optimising land and labour productivities,
enhancing higher crop** intensities, producing better crop yield. A land suitability analysis …
enhancing higher crop** intensities, producing better crop yield. A land suitability analysis …
VISCOUS: A variance‐based sensitivity analysis using copulas for efficient identification of dominant hydrological processes
Global sensitivity analysis (GSA) has long been recognized as an indispensable tool for
model analysis. GSA has been extensively used for model simplification, identifiability …
model analysis. GSA has been extensively used for model simplification, identifiability …
Batch and online variational learning of hierarchical Dirichlet process mixtures of multivariate Beta distributions in medical applications
Thanks to the significant developments in healthcare industries, various types of medical
data are generated. Analysing such valuable resources aid healthcare experts to …
data are generated. Analysing such valuable resources aid healthcare experts to …
Artificial Intelligence Analysis and Reverse Engineering of Molecular Subtypes of Diffuse Large B-Cell Lymphoma Using Gene Expression Data
J Carreras, Y Yukie Kikuti, M Miyaoka, S Miyahara… - …, 2024 - mdpi.com
Diffuse large B-cell lymphoma is one of the most frequent mature B-cell hematological
neoplasms and non-Hodgkin lymphomas. Despite advances in diagnosis and treatment …
neoplasms and non-Hodgkin lymphomas. Despite advances in diagnosis and treatment …
RgCop-A regularized copula based method for gene selection in single-cell RNA-seq data
Gene selection in unannotated large single cell RNA sequencing (scRNA-seq) data is
important and crucial step in the preliminary step of downstream analysis. The existing …
important and crucial step in the preliminary step of downstream analysis. The existing …
Generation of realistic synthetic data using multimodal neural ordinary differential equations
Individual organizations, such as hospitals, pharmaceutical companies, and health
insurance providers, are currently limited in their ability to collect data that are fully …
insurance providers, are currently limited in their ability to collect data that are fully …
A bayesian nonparametric mixture model for grou** dependence structures and selecting copula functions
H Zhuang, L Diao, YY Grace - Econometrics and Statistics, 2022 - Elsevier
The demand for advanced dependence modeling arises in a variety of fields, including
finance, insurance and health science. When analyzing dependent data, it is important but …
finance, insurance and health science. When analyzing dependent data, it is important but …
基于混合 Copula 函数的洪水联合概率计算方法
蔺文慧, 宋松柏 - 水力发电学报, 2021 - slfdxb.cn
洪水频率计算是涉水工程规模确定的依据. 混合Copula 函数比单一Copula 函数能够更好地刻画
多维洪水随机变量的分布特征. 本文以加拿大魁北克省马达瓦斯克河流域的洪水数据为例 …
多维洪水随机变量的分布特征. 本文以加拿大魁北克省马达瓦斯克河流域的洪水数据为例 …