3 citations · 6 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
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…