A simple estimator for a shared frailty regression model

Summary. We propose a simple estimation procedure for a proportional hazards frailty regression model for clustered survival data in which the dependence is generated by a positive stable distribution. Inferences for the frailty parameter can be obtained by using output from Cox regression analyses. The computational burden is substantially less than that of the other approaches to estimation. The large sample behaviour of the estimator is studied and simulations show that the approximations are appropriate for use with realistic sample sizes. The methods are motivated by studies of familial associations in the natural history of diseases. Their practical utility is illustrated with sib pair data from Beaver Dam, Wisconsin.     

从韩国人学汉语看对零起点学生的对外汉语教学

在来华学习汉语的留学生中,有一部分是处于零起点阶段的韩国留学生。在教学过程中不仅要利用各种形象化的技巧跨越因语言不通而形成的学习障碍,还要注重基础内容的学习,要使其认识到汉韩文化和语言的相通及差异。     

构建服务型政府行政文化模式探索

阐明了服务型政府行政文化模式的内涵、特点，提出了构建服务型政府行政文化模式的途径。     

科学方法的发展与科学的发展:双向互动

科学研究作为人类认识自然界的一种活动,必须运用适当的方法,方法得当,事半功倍;方法不当,事倍功半。从科学史看,科学的发展和科学方法的发展是相互促进的:科学方法的发展有力地推动了科学的发展,科学的发展又反过来推动了科学方法的变革。因此,我们应当注重对科学和科学方法互动的研究,只有这样,才能更深刻地理解科学史。     

Bayesian inference for a discretely observed stochastic kinetic model

The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observed by means of discrete-time sampling systems, which are often limited in their completeness. In this paper we explore how to make Bayesian inference for the kinetic rate constants of regulatory networks, using the stochastic kinetic Lotka-Volterra system as a model. This simple model describes behaviour typical of many biochemical networks which exhibit auto-regulatory behaviour. Various MCMC algorithms are described and their performance evaluated in several data-poor scenarios. An algorithm based on an approximating process is shown to be particularly efficient.     

Conditional Likelihood Estimators for Hidden Markov Models and Stochastic Volatility Models

ABSTRACT.  This paper develops a new contrast process for parametric inference of general hidden Markov models, when the hidden chain has a non-compact state space. This contrast is based on the conditional likelihood approach, often used for ARCH-type models. We prove the strong consistency of the conditional likelihood estimators under appropriate conditions. The method is applied to the Kalman filter (for which this contrast and the exact likelihood lead to asymptotically equivalent estimators) and to the discretely observed stochastic volatility models.     

A Sparse Implementation of the Average Information Algorithm for Factor Analytic and Reduced Rank Variance Models

Factor analytic variance models have been widely considered for the analysis of multivariate data particularly in the psychometrics area. Recently Smith, Cullis & Thompson (2001) have considered their use in the analysis of multi‐environment data arising from plant improvement programs. For these data, the size of the problem and the complexity of the variance models chosen to account for spatial heterogeneity within trials implies that standard algorithms for fitting factor analytic models can be computationally expensive. This paper presents a sparse implementation of the average information algorithm (Gilmour, Thompson & Cullis, 1995) for fitting factor analytic and reduced rank variance models.     

教育服务产出核算分析

教育服务是服务核算中的一个重要部分。本文讨论教育服务的定义和服务产出的数量单位。研究教育服务的核算范围和计算教育服务产出价值的方法,以及教育服务的质量调整问题。最后,举例使用产出指标方法计算教育产出。     

一种LOG-MAP算法的改进迭代实现及其结构

对LOG-MAP算法进行了可并发性分析,利用可以完整接收一个N长符号传输帧的条件以及正向迭代和反向迭代中的固有对称性质,提出了LOG-MAP算法的一种修正迭代实现算法,其正向和反向迭代计算次数只需码长N的一半,故比标准LOG-MAP算法提高了一倍的处理速度,且没有空间开销的增加、同时,根据修正的迭代实现算法给出了相应的适于FPGA实现的双总线硬件结构的实现方案。     

荷兰居民生活质量调查方法研究及对中国的启示

通过对荷兰居民生活质量调查方法的研究，旨在分析总结其值得借鉴之处，并在此基础上针对中国正在探索中的居民生活质量调查，提出构建中国居民生活质量调查体系应拓宽其调查信息来源、实现数据共享、积极提高回应率、培养高素质调查队伍以及定期发布调查报告。