(Dis)unity and Diversity in Post-9/11 America

Drawing inspiration from the work of Robin M. Williams Jr., I map out the complexities of ethnic and racial relations in the contemporary United States by focusing on the impacts of 9/11—particularly in relation to immigration policy. Because the attackers entered the country through regular immigration channels (i.e., as foreign students) the U.S. government has introduced policies to enhance border security, restrict immigration, increase the surveillance of immigrant populations, and more actively enforce immigration policy. These national-security-related immigration policies, however, are exacerbating existing tensions and producing new sets of ethnic and racialized conflicts in the United States. In this article, I first provide an overview of the key national-security-related immigration policies that were passed in the wake of September 11, 2001. Then, I review some of the recent sociological literature, as well as draw from my own preliminary research in the State of New Jersey, to illustrate the social impacts of these policies on ethnic and racial relations. I conclude with an outline of the ways the sociology of ethnic and racial relations specifically, as well as other subfields of the discipline, might approach analyses of social conflict in the contemporary United States, post–September 11.     

Robin Williams, Race, and American Sociology

In this essay, I discuss Robin M. Williams Jr.'s unique sociological approach to the study of race and the ways his background and the historical moment in which he wrote contributed to his sociological vision.     

The Ebb and Flow of Sociological Interest in Values

Contemporary sociology and social psychology have largely ignored the study of values. In this essay, I explore the reasons for that condition, the exceptions to the rule, and the areas that would most benefit from the consideration of values.     

The Legacy of Robin M. Williams Jr. in the Short Twenty-First Century

This essay describes Robin M. Williams Jr.'s maturation from a precocious college student to a fully formed sociological researcher by describing various personal and professional encounters with significant events of the twentieth century. I reflect on the ways the historical cataclysms of depression and war galvanized Williams and his peers to work toward radical change, both in their lives and in the world about them. The result was a remarkable societal transformation that improved the lives of ordinary citizens in many and diverse ways. The essay concludes with the hope that sociologists will once again be in the vanguard of social action, as Robin Williams was during his long career of teaching, research, and public criticism.     

Stochastic volatility modelling in continuous time with general marginal distributions: Inference,prediction and model selection

We compare results for stochastic volatility models where the underlying volatility process having generalized inverse Gaussian (GIG) and tempered stable marginal laws. We use a continuous time stochastic volatility model where the volatility follows an Ornstein–Uhlenbeck stochastic differential equation driven by a Lévy process. A model for long-range dependence is also considered, its merit and practical relevance discussed. We find that the full GIG and a special case, the inverse gamma, marginal distributions accurately fit real data. Inference is carried out in a Bayesian framework, with computation using Markov chain Monte Carlo (MCMC). We develop an MCMC algorithm that can be used for a general marginal model.     

跨国公司在华并购新态及对策建议

随着跨国公司在华并购限制减少,越来越多的跨国公司选择以并购方式进入我国。本文就目前外资并购我国企业的现状、发展趋势进行了分析,并提出了一些发展的建议,期望规范并购与保障经济安全运行。     

Improving social psychiatric treatment in residential programmes for emerging dependence groups in Europe: cross-border networking, methodological innovations and substantive discoveries

A mini-symposium series of papers presenting the results of the European Commission-supported Biomed II project is introduced. The project accomplished a cross-border scientific networking engaging 31 European residential treatment programmes. The results showed that scientific development is best served by a flexible bureaucratic approach. 'Old' science and the 'new' science ways of working were balanced. 'History' and 'social networks' are the key concepts signalling the project knowledge gains. A treatment sample (N=723) was extracted from a database of 1028 current European cases. Non-drug-specific characteristics are as important as drug-specific characteristics in distinguishing emerging dependence groups. The project networking created a process that increased the level of involvement of science and the service communities. To sustain the gains of the project, a reaching out of existing European treatment services to extended family and friendship networks with a history of dependence-related problems will be required.     

Mutual information in the frequency domain

Coefficients of mutual information (MI) can provide powerful extensions of classical coefficients of correlation. In particular, they have the property of vanishing if and only if the components involved are statistically independent of each other. This characteristic can prove useful in preparatory work to model building. In this article a frequency domain variant of MI is developed and studied for bivariate stationary time series. As a scientific example an ambient seismic noise data set is studied and a lack of independence of the components inferred. The character of the dependence of the MI on frequency may be used to suggest the nature of the statistical dependence.     

Objective Bayesian analysis of spatial data with uncertain nugget and range parameters

The authors develop default priors for the Gaussian random field model that includes a nugget parameter accounting for the effects of microscale variations and measurement errors. They present the independence Jeffreys prior, the Jeffreys‐rule prior and a reference prior and study posterior propriety of these and related priors. They show that the uniform prior for the correlation parameters yields an improper posterior. In case of known regression and variance parameters, they derive the Jeffreys prior for the correlation parameters. They prove posterior propriety and obtain that the predictive distributions at ungauged locations have finite variance. Moreover, they show that the proposed priors have good frequentist properties, except for those based on the marginal Jeffreys‐rule prior for the correlation parameters, and illustrate their approach by analyzing a dataset of zinc concentrations along the river Meuse. The Canadian Journal of Statistics 40: 304–327; 2012 © 2012 Statistical Society of Canada     

On the robustness of empirical likelihood ratio confidence intervals for location

The authors examine the robustness of empirical likelihood ratio (ELR) confidence intervals for the mean and M‐estimate of location. They show that the ELR interval for the mean has an asymptotic breakdown point of zero. They also give a formula for computing the breakdown point of the ELR interval for M‐estimate. Through a numerical study, they further examine the relative advantages of the ELR interval to the commonly used confidence intervals based on the asymptotic distribution of the M‐estimate.