目录 8.1 The structure of selection bias 8.2 Examples of selection bias 8.3 Selection bias and confounding 8.4 Selection bias and censoring 8.5 How to adjust for selection bias 8.6 Selection without bias Fine Point Selection bias in case-control studie…
目录 9.1 Measurement Error The structure of measurement error 9.3 Mismeasured confounders 9.4 Intention-to-treat effect: the effect of a misclassified treatment 9.5 Per-protocol effect Fine Point The strength and direction of measurement bias Per-proto…
分享stackexchange的一篇问答:https://stats.stackexchange.com/questions/11602/training-with-the-full-dataset-after-cross-validation Q: Is it always a good idea to train with the full dataset after cross-validation? Put it another way, is it ok to train with a…
Machine Learning Crash Course | Google Developers https://developers.google.com/machine-learning/crash-course/ Google's fast-paced, practical introduction to machine learning ML Concepts Introduction to Machine Learning As you'll discover, machine…
更多来自: www.vipcoursea.com Ethics 部分 Objective of codes and standard:永远是为了maintain public trust in 1.Financial market 2.Investment profession 6个code of ethics 1.Code 1—ethics and pertinent d persons a. 2.Code 2---primacy of client’s interest a.Int…
In this post, I will give a list of all undocumented parameters in Oracle 12.1.0.1c. Here is a query to see all the parameters (documented and undocumented) which contain the string you enter when prompted: – Enter name of the parameter when prompted…
摘要: 提出一种方法——ELBlocker,用于自动检测出Blocking Bugs(prevent other bugs from being fixed). 难度在于这些Blocking Bugs仅占很小的比例( the class imbalance phenomenon). 方法:给定一个训练集,ELBlocker首先把将训练数据划分为多个互斥的集合.对每个集合建立一个分类器,然后根据混合分类器的结果,设定一个阈值(决策边界),把 blocking bugs from non-blocki…
CACE全称Compiler Average Casual Effect或者Local Average Treatment Effect.在观测数据中的应用需要和Instrument Variable结合来看,这里我们只讨论CACE的框架给随机AB实验提供的一些learning.你碰到过以下低实验渗透低的情况么? 新功能入口很深,多数进组用户并未真正使用新功能,在只能在用户层随机分流的条件下,如何计算新功能的收益 触达策略,在发送触达时进行随机分组,但触达过程存在损失,真正触达的用户占比很小,如…