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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...
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...
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 ...
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...
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...
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...
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 ...
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 ...
The purpose of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH) is to bring together researchers, engineers, applied mathematicians ...
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...
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...
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 ...
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 ...

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