activity
20082022
most citedConsistency of cross validation for comparing regression procedures

171 citations · 173 across the 7 of their papers we have counts for

collaborators

10 papers

stat.ME2022

Multifold Cross-Validation Model Averaging for Generalized Additive Partial Linear Models

Ze Chen, Jun Liao, Wangli Xu +1

Generalized additive partial linear models (GAPLMs) are appealing for model interpretation and prediction. However, for GAPLMs, the covariates and the degree of smoothing in the no…

stat.ME2022

Variable Importance Based Interaction Modeling with an Application on Initial Spread of COVID-19 in China

Jianqiang Zhang, Ze Chen, Yuhong Yang +1

Interaction selection for linear regression models with both continuous and categorical predictors is useful in many fields of modern science, yet very challenging when the number…

stat.ME2021

Optimal integrating learning for split questionnaire design type data

Cunjie Lin, Jingfu Peng, Yichen Qin +2

In the era of data science, it is common to encounter data with different subsets of variables obtained for different cases. An example is the split questionnaire design (SQD), whi…

econ.EM2021

MinP Score Tests with an Inequality Constrained Parameter Space

Giuseppe Cavaliere, Zeng-Hua Lu, Anders Rahbek +1

Score tests have the advantage of requiring estimation alone of the model restricted by the null hypothesis, which often is much simpler than models defined under the alternative h…

stat.ML2020

To update or not to update? Delayed Nonparametric Bandits with Randomized Allocation

Sakshi Arya, Yuhong Yang

Delayed rewards problem in contextual bandits has been of interest in various practical settings. We study randomized allocation strategies and provide an understanding on how the…

stat.ML2019

Randomized Allocation with Nonparametric Estimation for Contextual Multi-Armed Bandits with Delayed Rewards

Sakshi Arya, Yuhong Yang

We study a multi-armed bandit problem with covariates in a setting where there is a possible delay in observing the rewards. Under some mild assumptions on the probability distribu…