On nonparametric conditional independence tests for continuous variables
Publication in refereed journal

香港中文大學研究人員
替代計量分析
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其它資訊
摘要Testing conditional independence (CI) for continuous variables is a fundamental but challenging task in statistics. Many tests for this task are developed and used increasingly widely by data analysts. This article reviews the current status of the nonparametric part of these tests, which assumes no parametric form for the joint continuous density function. The different ways to approach the CI are summarized. Tests are also grouped according to their data assumptions and method types. A numerical comparison is also conducted for representative tests.
This article is categorized under:
Statistical and Graphical Methods of Data Analysis > Analysis of High Dimensional Data
Statistical and Graphical Methods of Data Analysis > Multivariate Analysis
出版社接受日期22.10.2019
著者Li C., Fan X.
期刊名稱Wiley Interdisciplinary Reviews: Computational Statistics
出版年份2020
月份5
卷號12
期次3
出版社Wiley: 12 months
文章號碼e1489
國際標準期刊號1939-5108
電子國際標準期刊號1939-0068
語言英式英語
關鍵詞conditional independence, hypothesis testing, literature review

上次更新時間 2020-21-11 於 23:57