In matched observational studies, the inferred causal conclusions preten...
Evaluating the treatment effects has become an important topic for many
...
We propose a kernel-based partial permutation test for checking the equa...
Classical randomized experiments, equipped with randomization-based
infe...
Completely randomized experiments have been the gold standard for drawin...
Two-sample tests have been one of the most classical topics in statistic...
Due to the growing awareness of driving safety and the development of
so...
Randomization (a.k.a. permutation) inference is typically interpreted as...
In this paper, a novel perceptual image hashing scheme for color images ...
Transitional inference is an empiricism concept, rooted and practiced in...
Randomization is a basis for the statistical inference of treatment effe...
Lung cancer is the commonest cause of cancer deaths worldwide, and its
m...
With many pretreatment covariates and treatment factors, the classical
f...
Many previous causal inference studies require no interference among uni...