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高斯法的统计地质学

Geostatistics for Gaussian Processes
课程网址: http://videolectures.net/nipsworkshops09_wackernagel_ggp/  
主讲教师: Hans Wackernagel
开课单位: 巴黎矿业大学
开课时间: 2010-01-19
课程语种: 英语
中文简介:
高斯过程方法学在机器学习领域激发了许多新的想法。克里格法是二十年前计算机实验设计中引入的一种统计插值方法。然而,在切换到这一新环境时,最初为自然资源估算开发的地质统计学方法的某些方面被忽略了。本文回顾了地质统计学的概念,特别是在多个相关输出的背景下对空间变化分量的估计。
课程简介: Gaussian process methodology has inspired a number of stimulating new ideas in the area of machine learning. Kriging has been introduced as a statistical interpolation method for the design of computer experiments twenty years ago. However, some aspects of the geostatistical methodology originally developed for natural resource estimation have been ignored when switching to this new context. This talk reviews concepts of geostatistics and in particular the estimation of components of spatial variation in the context of multiple correlated outputs.  
关 键 词: 高斯法; 地质统计学; 自然资源
课程来源: 视频讲座网
最后编审: 2020-06-06:zyk
阅读次数: 58