5 papers
Assumption-lean weak limits and tests for two-stage adaptive experiments
Ziang Niu, Zhimei Ren
Adaptive experiments are becoming increasingly popular in real-world applications for effectively maximizing in-sample welfare and efficiency by data-driven sampling. Despite their…
Semiparametric KSD test: unifying score and distance-based approaches for goodness-of-fit testing
Zhihan Huang, Ziang Niu
Goodness-of-fit (GoF) tests are fundamental for assessing model adequacy. Score-based tests are appealing because they require fitting the model only once under the null. However,…
The conditional saddlepoint approximation for fast and accurate large-scale hypothesis testing
Ziang Niu, Jyotishka Ray Choudhury, Eugene Katsevich
Large-scale testing in modern applications such as genomics often entails a trade-off between accuracy and speed: multiplicity corrections push cutoffs deep into the tails, where n…
The saddlepoint approximation for averages of conditionally independent random variables
Ziang Niu, Jyotishka Ray Choudhury, Eugene Katsevich
Motivated by the application of saddlepoint approximations to resampling-based statistical tests, we prove that the Lugannani-Rice formula has vanishing relative error when applied…
The permuted score test for robust differential expression analysis
Timothy Barry, Ziang Niu, Eugene Katsevich +1
Negative binomial (NB) regression is a popular method for identifying differentially expressed genes in genomics data, such as bulk and single-cell RNA sequencing data. However, NB…