In this article,we propose a Bayesian stochastic approximation method to estimate the root of a regression function.The method features adaptive modelling and nonrecursive iteration.
Motivated by the need to produce small area estimates for the National Resources Inventory survey,we develop a spatial hierarchical Bayesian model based on a generalized Dirichlet distribution to cons
Monitoring high-dimensional data streams has become increasingly important for realtime detection of abnormal activities in many data-rich applications.
Prediction accuracy of a cure model when it is used to predict the cure probability of a patient is an important but not well addressed issue in survival analysis.
This talk focuses on the implementation of participating MRCT in China.The key points of ICH E17 and China IMCT guideline will be reviewed; the sample size of Chinese patients in MRCT will be calculat
The impact of inherited genetic variation on gene expression in humans is well-established.The majority of known expression quantitative trait loci(eQTLs)impact expression of local genes(cis-eQTLs); m