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第四届重尾统计模型及其应用研讨会第一次通知（The 4th International Workshop on Statistical Modeling of Heavy-Tail Phenomena with Applications）
第四届 重尾统计模型及其应用 研讨会 第一次
2018/1/11
众所周知，金融、保险、网络等领域普遍存在的重尾现象引起了越来越多国内外学者的关注和重视。该领域的理论和应用已经成为应用概率统计界一个日益重要的学术分支。为加强国内外学者的交流和研究，推动本土学术活动的国际化，由苏州大学相关团队发起，经中国概率统计学会批准，第一届重尾统计模型及其应用研讨会曾于2012年在南京师范大学召开。此后，苏州大学和浙江工商大学于2014和2016年分别与中国概率统计学会联合举...
2018皮层扩散抑制的数学建模及相关现象研讨会（Workshop on Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena）
2018 皮层扩散抑制的数学建模及相关现象 研讨会
2017/12/20
This workshop will bring together mathematical and computational scientists with experimental researchers studying cortical spreading depression (SD) and related phenomena. SD is a disorder of the cen...
The 4th International Workshop on Statistical Modeling of Heavy-Tail Phenomena with Applications
The 4th International Workshop Statistical Modeling of Heavy-Tail Phenomena with Applications
2017/12/20
Heavy-tailed distribution theory, alongside with extreme value theory, provide a framework and an indispensable set of tools aiming to analyze the data's atypical behaviors. The eld is driven by and ...
2017年建模方法专题研讨会（Modeling Methodology）
2017年 建模方法专题 研讨会
2017/11/24
The Modeling Methodology track is interested in methodological advances with respect to the theory and practice of modeling and simulation. These may include approaches to formal model development, da...
2017年健康科学中的风险建模，管理和缓解研讨会（2017 International Workshop on Risk Modeling,Management,and Mitigation in Health Sciences）
2017年 健康科学 风险建模 管理 缓解 研讨会
2017/11/24
Risk analysis is a critical part of the design, implementation and assessment of medical research and healthcare provision and development. It plays an active role from the design of clinical trials i...
2017年数学建模与科学计算专题会议（Special Session: Mathematical Modeling and Scientific Computing）
2017年 数学建模与科学计算 专题会议
2017/8/29
The special session on Mathematical Modelling and Scientific Computing aims at bringing together researchers, mathematicians, scientists, engineers and practitioners throughout the world to present th...
2017 IEEE国际建模可靠性与优化研讨会（IEEE International Workshop on Reliability Modeling and Optimization）
2017 IEEE 国际建模可靠性 优化 研讨会
2017/6/23
Reliability of a system conveys information about the absence of failures, and is usually define as the probability that the system will perform its intended function for a specified time period when ...
第八届国际自适应建模与仿真会议（VIII International Conference on Adaptive Modeling and Simulation）
第八届 国际自适应 建模 仿真 会议
2017/5/23
Numerical Modeling and Simulation are increasingly used as a complementary tool to Experimental Modeling and Analysis and as a design or certification tool in engineering applications. However, after ...
山东大学数学学院运筹学英文课件chap2 Modeling vvith Linear Programming
山东大学数学学院 运筹学 英文课件 chap2 Modeling vvith Linear Programming
2017/4/21
山东大学数学学院运筹学英文课件chap2 Modeling vvith Linear Programming。
第7届国际模拟与建模方法论，技术与应用会议（7th International Conference on Simulation and Modeling Methodologies,Technologies and Applications）
第7届 国际模拟与建模方法论，技术与应用 会议
2017/3/9
The purpose of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH) is to bring together researchers, engineers, applied mathematicians ...
第11届国际几何建模和处理会议（The 11th International Conference on Geometric Modeling and Processing）
第11届 国际几何建模和处理 会议
2017/3/9
Welcome to the official website of the 11th International Conference on Geometric Modeling and Processing (GMP 2017), which will take place between April 17-19, 2017 in Xiamen, Fujian, China.GMP is an...
Electrowetting with Contact Line Pinning: Computational Modeling and Comparisons with Experiments
equation Contact Line Pinning
2015/12/11
This work describes the modeling and simulation of planar electrowetting on dielectric (EWOD)
devices that move fluid droplets by modulating surface tension effects. The fluid dynam...
Two modeling strategies for empirical Bayes estimation
f-modeling g-modeling Bayes rule in terms of f
2015/8/20
Empirical Bayes methods use the data from parallel experiments, for instance observtions Xk N (k;1) for k = 1;2; : : : ; N, to estimate the conditional distributions kjXk.
There are two main estima...
This article is intended as an expositional overview of empirical Bayes modeling
methodology, presented in a simpli ed framework that reduces technical diculties. The
two principal empirical Bayes ...
Inference and Modeling with Log-concave Distributions
Log-concave Distributions Inference and Modeling
2015/8/20
Log-concave distributions are an attractive choice for modeling
and inference, for several reasons: The class of log-concave distributions contains most of the commonly used parametric distributions ...