20 citations
- East China Normal UniversityCN7 papers
- Shanghai UniversityCN4 papers
- East China University of Science and TechnologyCN3 papers
- Peking UniversityCN3 papers
- Shaanxi Normal UniversityCN3 papers
- University of WaterlooCA3 papers
- Shanghai Jiao Tong UniversityCN2 papers
- Shanghai Lixin University of Accounting and FinanceCN2 papers
- Academy of Mathematics and Systems ScienceCN1 paper
- Beijing Institute of Big Data ResearchCN1 paper
- Central University of Finance and EconomicsCN1 paper
- Chinese Academy of SciencesCN1 paper
18 papers
Hypothesis testing for quantitative trait locus effects in both location and scale in genetic backcross studies
Guanfu Liu, Pengfei Li, Yukun Liu +1
Testing the existence of a quantitative trait locus (QTL) effect is an important task in QTL mapping studies. Most studies concentrate on the case where the phenotype distributions…
On consistency of the MLE under finite mixtures of location-scale distributions with a structural parameter
Guanfu Liu, Pengfei Li, Yukun Liu +1
We provide a general and rigorous proof for the strong consistency of maximum likelihood estimators of the cumulative distribution function of the mixing distribution and structura…
Two-step semiparametric empirical likelihood inference from capture-recapture data with missing covariates
Yang Liu, Yukun Liu, Pengfei Li +1
Missing covariates are not uncommon in capture-recapture studies. When covariate information is missing at random in capture-recapture data, an empirical full likelihood method has…
SID: A Novel Class of Nonparametric Tests of Independence for Censored Outcomes
Jinhong Li, Jicai Liu, Jinhong You +1
We propose a new class of metrics, called the survival independence divergence (SID), to test dependence between a right-censored outcome and covariates. A key technique for derivi…
Dynamic asymptotic dimension growth for group actions and groupoids
Hang Wang, Yanru Wang, Jianguo Zhang +1
We introduce the notion of dynamic asymptotic dimension growth for actions of discrete groups on compact spaces, and more generally for locally compact étale groupoids. Moreover, w…
Grid Point Approximation for Distributed Nonparametric Smoothing and Prediction
Yuan Gao, Rui Pan, Feng Li +2
Kernel smoothing is a widely used nonparametric method in modern statistical analysis. The problem of efficiently conducting kernel smoothing for a massive dataset on a distributed…