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Sufficiently Reduced Distributional Regression
Alexander Henzi, Tiange Liu, Xinwei Shen
We propose Sufficiently Reduced Distributional Regression (SRDR), a generative method that combines conditional distribution estimation with nonlinear sufficient dimension reductio…
Invariant Probabilistic Prediction
Alexander Henzi, Xinwei Shen, Michael Law +1
In recent years, there has been a growing interest in statistical methods that exhibit robust performance under distribution changes between training and test data. While most of t…
A Rank-Based Sequential Test of Independence
Alexander Henzi, Michael Law
We consider the problem of independence testing for two univariate random variables in a sequential setting. By leveraging recent developments on safe, anytime-valid inference, we…
Anytime Valid Tests of Conditional Independence Under Model-X
Peter Grünwald, Alexander Henzi, Tyron Lardy
We propose a sequential, anytime-valid method to test the conditional independence of a response and a predictor given a random vector . The proposed test is based on e-…