The King County Dept. of Information Technology (KCIT) supports King County employees, residents, and other government agencies with a wide array of innovative technology services. …

2017年2月13日 · Constraint-based causal discovery (CCD) algorithms require fast and accurate conditional independence (CI) testing. The Kernel Conditional Independence Test (KCIT) is currently one of the most popular CI tests in the non-parametric setting, but many investigators cannot use KCIT with large datasets because the test scales cubicly with sample size.

2012年2月14日 · We propose a Kernel-based Conditional Independence test (KCI-test), by constructing an appropriate test statistic and deriving its asymptotic distribution under the null hypothesis of conditional independence. The proposed method is computationally efficient and easy to implement.

KCIT offers innovative solutions that engage, empower, and serve our residents, businesses, communities and interested stakeholders. We are building vibrant communities through digital equity, and are using the power of technology to digitally …

2018年12月19日 · Kernel Conditional Independence Test (KCIT) 是目前非参数设置中最流行的 CI 测试之一，但许多研究人员不能将 KCIT 用于大型数据集，因为该测试至少与样本大小成二次方比例。 因此，我们设计了两种称为随机条件独立性测试 (RCIT) 和随机条件相关性测试 (RCoT) 的松弛方法，它们都通过利用随机傅立叶特征来近似 KCIT。 在实践中，两个提议的测试都与样本大小成线性比例，并且在大样本大小的上下文中比 KCIT 更快地返回准确的 p 值。

Kernel-based conditional independence (KCI) test and independence test 1. To test if x and y are conditionally or unconditionally independent on Z. For unconditional independence tests, Z is set to the empty set. The above code runs KCI with the default parameters.

2018年12月19日 · Constraint-based causal discovery (CCD) algorithms require fast and accurate conditional independence (CI) testing. The Kernel Conditional Independence Test (KCIT) is currently one of the most...

2019年12月26日 · Intuitively, KCIT works by testing for vanishing correlation between residual functions in RKHSs. A prominent advantage of KCIT is that the null distribution of the test statistic is derived and can be estimated efficiently.

Test (KCIT) is currently one of the most popular CI tests in the non-parametric setting, but many investigators cannot use KCIT with large datasets because the test scales cubicly with sample size. We therefore devise two relaxations called the Randomized Conditional Independence Test (RCIT) and the Randomized

This repository includes MATLAB code for the Kernel Conditional Independence Permutation Test (KCIPT) as introduced in: Doran, Gary, Krikamol Muandet, Kun Zhang, and Bernhard Schölkopf. A Permutation-Based Kernel Conditional Independence Test. To appear in the 30th Conference on Uncertainty in Artificial Intelligence. 2014.