Bayesian statistical methods for parton analyses

被引：0
|
作者：
Cowan, Glen [1 ]
机构：
[1] Univ London Royal Holloway & Bedford New Coll, Dept Phys, Surrey TW20 0EX, England
来源：
Deep Inelastic Scattering | 2007年
关键词：
D O I：
10.1142/9789812706706_0030
中图分类号：
O57 [原子核物理学、高能物理学];
学科分类号：
070202 ;
摘要：
The uncertainties in predictions for LHC observables are often dominated by systematic effects that are difficult to quantify in the traditional frequentist statistical framework. Uncertainties related to parton densities are an important example. Difficulties with the frequentist approach to this problem are examined and the Bayesian alternative is explored.
引用
收藏
页码：157 / 160
页数：4
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