搜索结果: 1-15 共查到“数学 high-z”相关记录93条 . 查询时间(0.343 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Arbitrarily high-order cut-off methods to preserve maximum bound principle for Allen-Cahn equations
Allen-Cahn equations 最大界限原理 任意高阶 截止方法
2023/4/14
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Estimating Time-Varying Networks for High-Dimensional Time Series
高维 时间序列 时变网络
2023/4/25
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Estimating Factor-Based Spot Volatility Matrices with Noisy and Asynchronous High-Frequency Data
噪声 异步高频 数据估算 因子 现货波动率 矩阵
2023/5/4
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Fixed Effects Bayesian Testing in High-Dimensional Linear Mixed Models
高维 线性混合模型 固定效应 贝叶斯检验
2023/5/5
Researchers find topological phenomena at high technologically relevant frequencies(图)
高技术 相关频率 拓扑现象
2023/7/11
第七届高性能科学计算国际会议(7th International Conference on High Performance Scientific Computing)
第七届 高性能科学计算 国际会议
2017/12/20
The conference takes place in the building of Ta Quang Buu Library , which is located on the campus of Hanoi University of Science and Technology,
The conference proceedings with selected high-qualit...
2018年亚太地区高性能计算国际会议(International Conference on High Performance Computing in Asia-Pacific Region)
2018年 亚太地区高性能计算 国际会议
2017/12/20
High performance computing is a key technology to solve large problems in science, engineering, and business by utilizing computing power which has been evolving to the future. HPC Asia, which is an i...
2018高维统计模型的贝叶斯计算研讨会(Workshop on Bayesian Computation for High-Dimensional Statistical Models)
2018 高维统计模型的贝叶斯计算 研讨会
2017/12/20
In recent years there has been an explosion of complex data-sets in areas as diverse as Bioinformatics, Ecology, Epidemiology, Finance, subsurface Geophysics, Meteorology, and Population genetics. In ...
第二届现代数学方法与高性能计算科学技术国际会议(2nd International Conference on Modern Mathematical Methods and High Performance Computing in Science & Technology)
第二届 现代数学方法与高性能计算科学技术 国际会议
2017/12/20
International Conference on Modern Mathematical Methods and High Performance Computing in Science and Technology (M3HPCST 2018). The M3HPCST 2018 will provide a forum for engineers and scientists in a...
三亚国际数学论坛:High Performance Numerical Algorithms and Applications
三亚国际数学论坛 High Performance Numerical Algorithms and Applications
2017/11/24
Scalable parallel algorithms for partial differential equations (PDEs) play a key role in computational science and engineering. As the number of processor cores in today's supercomputers grows rapidl...
2018年复杂网络高维数据统计挑战研讨会(Meeting the Statistical Challenges in High Dimensional Data and Complex Networks)
2018年 复杂网络高维数据统计挑战 研讨会
2017/11/24
The program aims at showing the role of modern statistical methods in complex data and serves to support interactions among mathematicians, statisticians, engineers and scientists working in the inter...
Astonishing advancements in high performance computing has made running large-scale, computationally-intensive applications a daily practice in the oil and gas industry. Those include anisotropic dept...
Regularization methods for high-dimensional instrumental variables regression with an application to genetical genomics
Causal inference Confounding Endogeneity Sparse regression
2016/1/25
In genetical genomics studies, it is important to jointly analyze gene expression data and genetic variants in exploring their associations with complex traits, where the dimensionality of gene expres...
Tests atternative to higher criticism for high dimensional means under sparsity and column-wise dependence
Large deviation Large p, small n Optimal detection boundary Sparse signal Thresholding Weak dependence
2016/1/25
We consider two alternative tests to the Higher Criticism test of Donoho and Jin (2004) for high dimensional means under the spar-sity of the non-zero means for sub-Gaussian distributed data with unkn...
High Dimensional Influence Measure
Cook’s distance High dimensional diagnosis Influential obser- vation Lasso
2016/1/25
Influence diagnosis is important since presence of influential ob-servations could lead to distorted analysis and misleading interpreta-tions. For high dimensional data, it is particularly so, as the ...