在统计学领域有哪些经典奠基性的论文？ 第1页

RA Fisher On a distribution yield the error functions of several week know statistics 奠基了统计学中最重要的几个统计量检验

Wilcoxon Individual Comparison by Ranking Method 提出了最初的非参数模型

Bradley Efron Bootstrap Methods: Another Look at the Jackknife 提出了 Bootstrap 方法

Rubin 的 Maximum Likelihood from Incomplete Data via the EM Algorithm 提出了非常重要的EM 算法

Geman Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images 提出了Gibbs Sampling

Tibshirani 的 Regression Shrinkage and selection via the lasso high-dimensional statistics 的奠基性文章

Ghosal 2000 年在 annals 上的文章Convergence rates of posterior distributions 是贝叶斯学派 consistency 和 convergence rates的奠基文章

Ferguson 的A Bayesian analysis of some nonparametric problems奠定了非参数贝叶斯方法的基础

Besag 的Spatial interaction and the statistical analysis of lattice systems 是几乎所有spatial statistics 的基础

Benjamini 的Controlling the false discovery rate: a practical and powerful approach to multiple testing 提出了FDR在multiple comparison的运用

加一篇最近三年可能是最好的一篇文章 P. Sur and E. J. Candès A Modern Maximum-Likelihood Theory for High-dimensional Logistic Regression