3 citations · 6 across the 4 of their papers we have counts for
4 papers
All about sample-size calculations for A/B testing: Novel extensions and practical guide
Jing Zhou, Jiannan Lu, Anas Shallah
While there exists a large amount of literature on the general challenges of and best practices for trustworthy online A/B testing, there are limited studies on sample size estimat…
Nonparametric C- and D-vine based quantile regression
Marija Tepegjozova, Jing Zhou, Gerda Claeskens +1
Quantile regression is a field with steadily growing importance in statistical modeling. It is a complementary method to linear regression, since computing a range of conditional q…
Detangling robustness in high dimensions: composite versus model-averaged estimation
Jing Zhou, Gerda Claeskens, Jelena Bradic
Robust methods, though ubiquitous in practice, are yet to be fully understood in the context of regularized estimation and high dimensions. Even simple questions become challenging…
Bayesian factorizations of big sparse tensors
Jing Zhou, Anirban Bhattacharya, Amy Herring +1
It has become routine to collect data that are structured as multiway arrays (tensors). There is an enormous literature on low rank and sparse matrix factorizations, but limited co…