collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning. This book provides a self-contained introduction to the area of high-dimensional statistics, aimed at the first-year graduate level....
High Dimensional Statistics学习笔记(五)下: Metric entropy and its uses 陆加柒等于十三 UCAS|Statistics 16 人赞同了该文章 上一期传送门: High Dimensional Statistics学习笔记(五)上: Uniform laws of large numbers 参考书:High-Dimensional Statistics A Non-Asymptotic Viewpoint(Martin J. Wainwright) ...
上一期传送门:High Dimensional Statistics学习笔记(四):Minimax Lower Bounds 参考书:High-Dimensional Statistics:A Non-Asymptotic Viewpoint(Martin J. Wainwright) 换本书继续学习High Dimensional Statistics,跟之前的Note就不作承上的介绍了,直接启下: 第四章学到的东西挺多,打算写个Note巩固一下,主要顺一下这...
英文原版 High-Dimensional Statistics 高维统计学 非渐近视角 剑桥统计与概率数学系列 精装 英文版 进口英语原版书籍 作者:Martin J. Wainwright出版社:Cambridge出版时间:2023年11月 手机专享价 ¥ 当当价 降价通知 ¥943.00 配送至 广东广州市 至 北京市东城区 服务 由“华研外语旗舰店”发货,并提供售后服务...
Peter J. Bickel has made far-reaching and wide-ranging contributions to many areas of statistics. This short article highlights his marvelous contributions to high-dimensional statistical inference and machine learning, which range from novel methodological developments, deep theoretical analysis, and their...
This book provides a self-contained introduction to the area of high-dimensional statistics, aimed at the first-year graduate level. It includes chapters that are focused on core methodology and theory - including tail bounds, concentration inequalities, uniform laws and empirical process, and random...
sub-Gaussian分布定义为满足特定矩性质的随机变量，其矩母函数为exp(-λ^2σ^2)。利用Markov不等式，可推导出对任意α>0，有P(|X|>α)≤2exp(-α^2/2σ^2)。此不等式即为Chernoff bound在sub-Gaussian分布中的形式。性质包括与Hoeffding不等式的关联。具体而言，若X为随机变量且几乎处处成立，...
Peter J. Bickel has made far-reaching and wide-ranging contributions to many areas of statistics. This short article highlights his marvelous contributions to high-dimensional statistical inference and machine learning, which range from novel methodological developments, deep theoretical analysis, and ...
High-Dimensional Statistics 英文原版 高维统计 非渐近视角 统计和概率数学 剑桥大学出版社 Martin J Wainwright【中商原?距结束 26 : 26 : 13 : 17 ¥ 944 折后 ¥ 894 满499减50 发货地: 广东 佛山 包邮 品牌: Martin/马丁 MARTIN Martin/马丁酒 ...
上一期传送门:陆加柒等于十三:High Dimensional Statistics学习笔记(三)下:Nonparametric Rrgression 相关笔记:陆加柒等于十三:Minimax Risk Bound 估计笔记 之前,我们讨论了各种方法的均方误差上界,现在我们来讨论它们的最优性,也就是回答以下两个问题: 分析方法可以改进吗?换句话说,估计是否可以满足更好的误差界?