Journal of Population Research - When modeling sub-national mortality rates, it is important to incorporate any possible correlation among sub-populations to improve forecast accuracy. Moreover,... 相似文献
In this article, we propose a general class of partially linear transformation models for recurrent gap time data, which extends the linear transformation models by incorporating non linear covariate effects and includes the partially linear proportional hazards and the partially linear proportional odds models as special cases. Both global and local estimating equations are developed to estimate the parametric and non parametric covariate effects, and the asymptotic properties of the resulting estimators are established. The finite-sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a clinic study on chronic granulomatous disease is provided. 相似文献
ABSTRACTIn 2007, Korea implemented Child Development Accounts (CDAs) for institutionalised children in child welfare systems. Since then, the target group and a matching cap of CDAs in Korea have evolved. The target group expanded to include poor children receiving welfare, whereas the matching cap increased from KRW 30,000 (US$26.53) to KRW 40,000 (US$35.38), which is matched at a 1:1 rate. Despite the expansion, there is little empirical evidence examining the extent to which CDAs have influenced the life of participants. Using a content analysis method with a sample (N = 22), this study examines how CDAs have changed children’s mindsets, saving habits, education, future planning and sponsorship. The findings suggest that CDAs have multiple positive influences on children. This study concludes with policy implications for the inclusive and progressive development of CDAs in Korea. 相似文献
Probabilistic integration of a continuous dynamical system is a way of systematically introducing discretisation error, at scales no larger than errors introduced by standard numerical discretisation, in order to enable thorough exploration of possible responses of the system to inputs. It is thus a potentially useful approach in a number of applications such as forward uncertainty quantification, inverse problems, and data assimilation. We extend the convergence analysis of probabilistic integrators for deterministic ordinary differential equations, as proposed by Conrad et al. (Stat Comput 27(4):1065–1082, 2017. https://doi.org/10.1007/s11222-016-9671-0), to establish mean-square convergence in the uniform norm on discrete- or continuous-time solutions under relaxed regularity assumptions on the driving vector fields and their induced flows. Specifically, we show that randomised high-order integrators for globally Lipschitz flows and randomised Euler integrators for dissipative vector fields with polynomially bounded local Lipschitz constants all have the same mean-square convergence rate as their deterministic counterparts, provided that the variance of the integration noise is not of higher order than the corresponding deterministic integrator. These and similar results are proven for probabilistic integrators where the random perturbations may be state-dependent, non-Gaussian, or non-centred random variables.