美国劳动法的放松规制

经过艰难的谈判历程 ,中国政府终于在 2 0 0 1年底加入WTO。政治学对政府职能定位、政府与市场关系的关注也已悄然转向规制分析领域。为了提高政府绩效、提升公共利益、制定完善的公共政策 ,放松规制和重建规制的论题已成为学术界、政府职能部门研究的热点之一。本期安排几篇有关政府规制问题研究的论文 ,旨在引发学术界对这一问题进行深入探讨。     

Bayesian fractional polynomials

This paper sets out to implement the Bayesian paradigm for fractional polynomial models under the assumption of normally distributed error terms. Fractional polynomials widen the class of ordinary polynomials and offer an additive and transportable modelling approach. The methodology is based on a Bayesian linear model with a quasi-default hyper-g prior and combines variable selection with parametric modelling of additive effects. A Markov chain Monte Carlo algorithm for the exploration of the model space is presented. This theoretically well-founded stochastic search constitutes a substantial improvement to ad hoc stepwise procedures for the fitting of fractional polynomial models. The method is applied to a data set on the relationship between ozone levels and meteorological parameters, previously analysed in the literature.     

NONLINEAR TUBE-FITTING FOR THE ANALYSIS OF ANATOMICAL AND FUNCTIONAL STRUCTURES

We are concerned with the estimation of the exterior surface and interior summaries of tube-shaped anatomical structures. This interest is motivated by two distinct scientific goals, one dealing with the distribution of HIV microbicide in the colon and the other with measuring degradation in white-matter tracts in the brain. Our problem is posed as the estimation of the support of a distribution in three dimensions from a sample from that distribution, possibly measured with error. We propose a novel tube-fitting algorithm to construct such estimators. Further, we conduct a simulation study to aid in the choice of a key parameter of the algorithm, and we test our algorithm with validation study tailored to the motivating data sets. Finally, we apply the tube-fitting algorithm to a colon image produced by single photon emission computed tomography (SPECT) and to a white-matter tract image produced using diffusion tensor imaging (DTI).     

The maximum likelihood estimators in the growth curve model with serial covariance structure

The maximum likelihood estimators of unknown parameters in the growth curve model with serial covariance structure under some conditions are derived in the paper.     

A Flexible Approach to Time-varying Coefficients in the Cox Regression Setting

Research on methods for studying time-to-event data (survival analysis) has been extensive in recent years. The basic model in use today represents the hazard function for an individual through a proportional hazards model (Cox, 1972). Typically, it is assumed that a covariate's effect on the hazard function is constant throughout the course of the study. In this paper we propose a method to allow for possible deviations from the standard Cox model, by allowing the effect of a covariate to vary over time. This method is based on a dynamic linear model. We present our method in terms of a Bayesian hierarchical model. We fit the model to the data using Markov chain Monte Carlo methods. Finally, we illustrate the approach with several examples. This revised version was published online in July 2006 with corrections to the Cover Date.     

解释学纲要

施莱尔马赫的解释学思想主要体现在他身后出版的《解释学与校勘学》中,此书的总序和导论以纲要的方式表达了他在这个领域中的基本观点。他明确地界定了解释学与校勘学,区分了普遍解释学和特殊解释学、语法解释和心理解释、解释学的严格的实践和不严格的实践,突出了语言在解释学中的核心地位,对解释学循环作了明确的表述,并提出了浪漫主义解释学的著名口号——我们能像作者理解的一样并能做到比作者理解他自己理解得更好——等重要的思想。