搜索结果: 1-15 共查到“Statistical modeling”相关记录15条 . 查询时间(0.109 秒)
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...
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 ...
Rejoinder to "Statistical Modeling of Spatial Extremes"
Rejoinder "Statistical Modeling of Spatial Extremes"
2012/9/17
We are grateful to the discussants for their posi-tive and interesting comments. In an area moving so rapidly it is to be expected that our review overlooks
some work, and all the contributions helpf...
Discussion of "Statistical Modeling of Spatial Extremes" by A. C. Davison, S. A. Padoan and M. Ribatet
Discussion "Statistical Modeling of Spatial Extremes" A. C. Davison, S. A. Padoan A. C. Davison, S. A. Padoan and M. Ribatet M. Ribatet
2012/9/17
We congratulate the authors for producing such a helpful and comprehensive overview paper of a ra-pidly developing and important area. The starting point for inference in spatial extreme value prob-le...
Discussion of "Statistical Modeling of Spatial Extremes" by A. C. Davison, S. A. Padoan and M. Ribatet
Discussion "Statistical Modeling of Spatial Extremes" A. C. Davison, S. A. Padoan M. Ribatet
2012/9/17
The review paper on spatial extremes by Davison,Padoan and Ribatet is a most welcome contribu-tion. The authors cover quite a lot of ground, mak-ing connections between different approaches while high...
Discussion of "Statistical Modeling of Spatial Extremes" by A. C. Davison, S. A. Padoan and M. Ribatet
Discussio "Statistical Modeling of Spatial Extremes" A. C. Davison, S. A. Padoan M. Ribatet
2012/9/17
We congratulate the authors for their overview paper discussing modeling techniques for spatial ex-tremes. There is great interest in spatial extreme
data in the atmospheric science community, as the...
Statistical Modeling of Spatial Extremes
Annual maximum analysis Bayesian hierar-chical model Brown–Resnick process composite likelihood copula en-vironmental data analysis Gaussian process generalizedextreme-value distribution geostatistics latent variable max-stable process statistics of extremes
2012/9/17
The areal modeling of the extremes of a natural process such as rainfall or temperature is important in environmental statistics; for example, understanding extreme areal rainfall is crucial in flood ...
Recently, ultra high-throughput sequencing of RNA (RNA-Seq) has been developed as an approach for analysis of gene expression.
Novel Statistical Modeling, Analysis and Implementation of Rate-Distortion Estimation for H.264/AVC Coders
Novel Statistical Modeling Analysis Rate-Distortion Estimation
2010/12/20
Novel Statistical Modeling, Analysis and Implementation of Rate-Distortion Estimation for H.264/AVC Coders.
Evaluation of Statistical Modeling Techniques in the Investigation of the Dimensions of Machined Components
Dimension measurement statistical modeling beta distribution function
2009/10/15
In this study, an investigation was conducted to find the behavior of the variation of the dimensions of machined workpieces collected for quality control purposes and to propose statistical distribut...
Measurement and statistical modeling of BRDF of various samples
bidirectional reflectance distribution function modeling measurement light scattering
2011/5/6
Based on the Torrance–Sparrow model, a modified and simplified five-parameter model is
obtained. Multi-angle bistatic reflectance data of surfaces of various materials are fitted using
this model. G...
Statistical Modeling for Perception of Images in Stereoscopic Displays
Virtual reality system Perception Fractional factorial design
2010/1/15
Most of the training processes in the stereoscopic displays are performed within the virtual reality environment. Perception analysis of virtual space and operator interaction with the objects being i...
Statistical Modeling of the Effect of Physio-Biochemical Parameters on Water Use Efficiency of Grape Varieties, Rootstocks and Their Stionic Combinations under Moisture Stress Conditions
Grape varieties rootstocks budded vines water use efficiency correlation regression model
2009/1/12
The effect of various physio-biochemical parameters on the water use efficiency (WUE) of grape varieties, rootstocks and budded vines was studied in 3 separate experiments at 3 levels of irrigation (1...
Role of scaling in the statistical modeling of finance
Role scaling statistical modeling finance
2010/12/17
Modeling the evolution of a financial index as a stochastic process is a problem awaiting a full, satisfactory solution since it was first formulated by Bachelier in 1900. Here it is shown that the s...
Statistical modeling for experiments with sliding levels
irregular experimental region nested effect re-centering and re-scaling response prediction response surface modeling
2010/4/27
Design of experiment with related factors can be implemented
by using the technique of sliding levels. Taguchi (1987) proposed an analysis
strategy by re-centering and re-scaling the slid factors. H...