39 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Zhejiang University of Finance and EconomicsCN6 papers
- Nanchang Hangkong UniversityCN5 papers
- Virginia TechUS4 papers
- Dalian University of TechnologyCN3 papers
- East China University of Science and TechnologyCN3 papers
- Peking UniversityCN3 papers
- Illinois Institute of TechnologyUS2 papers
- Nankai UniversityCN2 papers
- Northeast Normal UniversityCN2 papers
- Stanford UniversityUS2 papers
- Tianjin UniversityCN2 papers
- China National Health Development Research CenterCN1 paper
5 papers · 1 filter
Prediction De-Correlated Inference: A safe approach for post-prediction inference
Feng Gan, Wanfeng Liang, Changliang Zou
In modern data analysis, it is common to use machine learning methods to predict outcomes on unlabeled datasets and then use these pseudo-outcomes in subsequent statistical inferen…
A Generative Approach to Joint Modeling of Quantitative and Qualitative Responses
Xiaoning Kang, Lulu Kang, Wei Chen +1
In many scientific areas, data with quantitative and qualitative (QQ) responses are commonly encountered with a large number of predictors. By exploring the association between QQ…
Bayesian Auxiliary Variable Model for Birth Records Data with Qualitative and Quantitative Responses
Xiaoning Kang, Shyam Ranganathan, Lulu Kang +2
Many applications involve data with qualitative and quantitative responses. When there is an association between the two responses, a joint model will provide improved results than…
Multivariate Regression of Mixed Responses for Evaluation of Visualization Designs
Xiaoning Kang, Xiaoyu Chen, Ran Jin +2
Information visualization significantly enhances human perception by graphically representing complex data sets. The variety of visualization designs makes it challenging to effici…
Estimating Functional Linear Mixed-Effects Regression Models
Baisen Liu, Jiguo Cao
The functional linear model is a popular tool to investigate the relationship between a scalar/functional response variable and a scalar/functional covariate. We generalize this mo…