Confidence distributions applied to propagating uncertainty to inference based on estimating the local false discovery rate: A fiducial continuum from confidence sets to empirical Bayes set estimates as the number of comparisons increases

Empirical Bayes estimates of the local false discovery rate can reflect uncertainty about the estimated prior by supplementing their Bayesian posterior probabilities with confidence levels as posterior probabilities. This use of coherent fiducial inference with hierarchical models generates set estimators that propagate uncertainty to varying degrees. Some of the set estimates approach estimates from plug-in empirical Bayes methods for high numbers of comparisons and can come close to the usual confidence sets given a sufficiently low number of comparisons.     

Piecewise FARIMA models for long-memory time series

We consider the problem of modelling a long-memory time series using piecewise fractional autoregressive integrated moving average processes. The number as well as the locations of structural break points (BPs) and the parameters of each regime are assumed to be unknown. A four-step procedure is proposed to find out the BPs and to estimate the parameters of each regime. Its effectiveness is shown by Monte Carlo simulations and an application to real traffic data modelling is considered.     

我国互联网市场不正当竞争规制制度的创新——以中国网络视频反盗版联盟诉百度为例

我国互联网市场是目前急需规范的领域,大量不正当竞争行为在互联网市场出现,严重扰乱了互联网市场的秩序,其中互联网版权不正当竞争是典型表现之一。规制互联网市场的不正当竞争行为,创新互联网市场不正当竞争规制制度,不仅应认清现今规制所处的困境,规制之缺陷,还需在规制理念上进行完善,从而进一步建构我国互联网市场不正当竞争之规制制度。     

Local logisitic regression an application to army penetration data

There have been a number of procedures used to analyze non-monotonic binary data to predict the probability of response. Some classical procedures are the Up and Down strategy, the Robbins–Monro procedure, and other sequential optimization designs. Recently, nonparametric procedures such as kernel regression and local linear regression (llogr) have been applied to this type of data. It is a well known fact that kernel regression has problems fitting the data near the boundaries and a drawback with local linear regression is that it may be “too linear” when fitting data from a curvilinear function. The procedure introduced in this paper is called local logistic regression, which fits a logistic regression function at each of the data points. An example is given using United States Army projectile data that supports the use of local logistic regression when analyzing non-monotonic binary data for certain response curves. Properties of local logistic regression will be presented along with simulation results that indicate some of the strengths of the procedure.     

Convergence rates for uniform confidence intervals based on local polynomial regression estimators

We investigate the convergence rates of uniform bias-corrected confidence intervals for a smooth curve using local polynomial regression for both the interior and boundary region. We discuss the cases when the degree of the polynomial is odd and even. The uniform confidence intervals are based on the volume-of-tube formula modified for biased estimators. We empirically show that the proposed uniform confidence intervals attain, at least approximately, nominal coverage. Finally, we investigate the performance of the volume-of-tube based confidence intervals for independent non-Gaussian errors.     

Global Governance,neoliberalism and national responses: The case of Bangladesh’s ready‐made garment (RMG) sector

This article on the ready‐made garment (RMG) sector of Bangladesh shows how over‐reliance on foreign capital for development financing and deregulated investment—a hallmark of neoliberal economic arrangements—undermines the incorporation of SDGs’ and INGOs’ equity principles, contributing to biased policy responses yielding unequal outcomes. The article cautions that while countries prioritize economic growth over social and environmental nourishment and continue to adopt neoliberal economic policies to promote economic growth, inequity is unavoidable, if not inevitable. Thus, the way forward may be to shift the focus of ‘development’ from the economy to society, to building ‘good societies’ where institutions and strategies, including those that contribute to economic growth, are organized such that these complement not compromise the evolution of such societies.     

竞业限制条款法律适用及其完善

企业基于商业秘密之保护和维持永续竞争力,通常要求员工签订竞业限制协议或条款,其中涉及商业秘密保护权和员工劳动就业权的冲突。因我国目前相关法律规定零散而不成体系,因此应合理构建竞业限制条款的具体制度,规定一般员工的法定竞业限制义务,明确竞业限制的主体、适用范围、经济补偿、违约责任、期限等,准确理解违反竞业限制义务的责任构成及其责任形式是实现权利冲突的合理解决和劳资双方共赢的最佳途径。     

A decade after the Reform: political activism of the Chinese of West Kalimantan,Indonesia

Political reform after the departure of President Soeharto’s New Order (1966–1998) provided opportunities for previously oppressed social groups to express their concerns and to demand fair recognition. The results of this newly found freedom have been quite immediately visible in Jakarta, where social and political institutions spearheaded by Chinese originally sprouted. In the regions, political participation of ethnic Chinese has also grown; significantly in those regions with a large Chinese population. In West Kalimantan, the number of Chinese being elected to local parliaments in some regions has doubled. They have also contested numerous direct local executive elections since 2003 and have been successful in winning four posts: a mayor, a district head, a deputy district head, and a deputy governor. By looking at the case of West Kalimantan, this article will examine the factors behind the growth in Chinese political activism, the factors contributing to the success of Chinese candidates in elections, how the Chinese have influenced local and provincial politics, and the challenges they are facing.     

Estimation and diagnostic analysis in skew-generalized-normal regression models

The skew-generalized-normal distribution [Arellano-Valle, RB, Gómez, HW, Quintana, FA. A new class of skew-normal distributions. Comm Statist Theory Methods 2004;33(7):1465–1480] is a class of asymmetric normal distributions, which contains the normal and skew-normal distributions as special cases. The main virtues of this distribution is that it is easy to simulate from and it also supplies a genuine expectation–maximization (EM) algorithm for maximum likelihood estimation. In this paper, we extend the EM algorithm for linear regression models assuming skew-generalized-normal random errors and we develop a diagnostics analyses via local influence and generalized leverage, following Zhu and Lee's approach. This is because Cook's well-known approach would be more complicated to use to obtain measures of local influence. Finally, results obtained for a real data set are reported, illustrating the usefulness of the proposed method.     

Spatially Balanced Sampling of Continuous Populations

When sampling from a continuous population (or distribution), we often want a rather small sample due to some cost attached to processing the sample or to collecting information in the field. Moreover, a probability sample that allows for design‐based statistical inference is often desired. Given these requirements, we want to reduce the sampling variance of the Horvitz–Thompson estimator as much as possible. To achieve this, we introduce different approaches to using the local pivotal method for selecting well‐spread samples from multidimensional continuous populations. The results of a simulation study clearly indicate that we succeed in selecting spatially balanced samples and improve the efficiency of the Horvitz–Thompson estimator.