How do you detect if a process influences another process after having adjusted for confounding? In our new work, Nonparametric Conditional Local Independence Testing, we solve this problem nonparametrically for the first time! Combining techniques from double machine learning and stochastic processes, we are able to show a new functional central limit theorem. This allows us to construct nonparametric tests in a general framework :muscle:

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