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CONDITIONAL INDEPENDENCE TEST FOR CATEGORICAL DATA USING POISSON LOG-LINEAR MODEL

摘要


We demonstrate how to test for conditional independence of two variables with categorical data using Poisson log-linear models. The size of the conditioning set of variables can vary from 0 (simple independence) up to many variables. We also provide a function in R for performing the test. Instead of calculating all possible tables with for loop we perform the test using the log-linear models and thus speeding up the process. Time comparison simulation studies are presented.

被引用紀錄


Chen, K. M. (2014). 以Kinect 為人機互動媒介之沙畫藝術作畫系統 [master's thesis, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2014.00777
Jung, C. H. (2011). 用於交通預測之二層資料分群法 [master's thesis, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2011.01165
Chang, C. J. (2014). 用以建構因果網路與檢視其特徵的演算法 [doctoral dissertation, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2014.02663
Wu, H. R. (2013). 以軌跡資料剖析與倉儲進行物體移動行為分析 [doctoral dissertation, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2013.00873
Ling, J. Y. (2016). 以感域雜湊法加速軌跡查詢 [master's thesis, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-0411201614431046

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