Chinas local government debt financing grows rapidly since the global financial crisis in 2008,featuring surging exposure of local government debt risk.
Covariate measurement error has attracted extensive interest in survival analysis.In the past thirty years,a large number of inference methods have been developed to handle error-prone survival data.
Faced with new types of data,statisticians require models that can handle complex random objects.This motivates the development of regression models that feature random objects in a metric space as re
We consider the estimation of the optimal interval between doses for interventions such as malaria chemoprevention and vaccine booster doses that are applied intermittently in infectious disease contr
Interval-censored failure time data occur in many fields such as demography,economics,medical research and reliability and many inference procedures on them have been developed(Chen et al.,2012; Sun,2
The Affordable Care Act(ACA),which expanded health insurance coverage to millions of people in the United States,created interest in evaluating the effect of gaining Medicaid health insurance on patie
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