Design selection for strong orthogonal arrays

Strong orthogonal arrays (SOAs) were recently introduced and studied as a class of space‐filling designs for computer experiments. An important problem that has not been addressed in the literature is that of design selection for such arrays. In this article, we conduct a systematic investigation into this problem, and we focus on the most useful SOA(n,m,4,2 + )s and SOA(n,m,4,2)s. This article first addresses the problem of design selection for SOAs of strength 2+ by examining their three‐dimensional projections. Both theoretical and computational results are presented. When SOAs of strength 2+ do not exist, we formulate a general framework for the selection of SOAs of strength 2 by looking at their two‐dimensional projections. The approach is fruitful, as it is applicable when SOAs of strength 2+ do not exist and it gives rise to them when they do. The Canadian Journal of Statistics 47: 302–314; 2019 © 2019 Statistical Society of Canada     

Communication in Statistics-Theory and methods improved GQL estimation method for the generalised BINMA(1) model

In a recent research, the quasi-likelihood estimation methodology was developed to estimate the regression effects in the Generalized BINMA(1) (GBINMA(1)) process. The method provides consistent parameter estimates but, in the intermediate computations, moment estimating equations were used to estimate the serial- and cross-correlation parameters. This procedure may not result optimal parameter estimates, in particular, for the regression effects. This paper provides an alternative simpler GBINMA(1) process based on multivariate thinning properties where the main effects are estimated via a robust generalized quasi-likelihood (GQL) estimation approach. The two techniques are compared through some simulation experiments. A real-life data application is studied.     

Modeling spatial overdispersion via the generalized Waring point process

Modeling spatial overdispersion requires point process models with finite‐dimensional distributions that are overdisperse relative to the Poisson distribution. Fitting such models usually heavily relies on the properties of stationarity, ergodicity, and orderliness. In addition, although processes based on negative binomial finite‐dimensional distributions have been widely considered, they typically fail to simultaneously satisfy the three required properties for fitting. Indeed, it has been conjectured by Diggle and Milne that no negative binomial model can satisfy all three properties. In light of this, we change perspective and construct a new process based on a different overdisperse count model, namely, the generalized Waring (GW) distribution. While comparably tractable and flexible to negative binomial processes, the GW process is shown to possess all required properties and additionally span the negative binomial and Poisson processes as limiting cases. In this sense, the GW process provides an approximate resolution to the conundrum highlighted by Diggle and Milne.     

A Framework to Understand Extreme Space Weather Event Probability

An extreme space weather event has the potential to disrupt or damage infrastructure systems and technologies that many societies rely on for economic and social well‐being. Space weather events occur regularly, but extreme events are less frequent, with a small number of historical examples over the last 160 years. During the past decade, published works have (1) examined the physical characteristics of the extreme historical events and (2) discussed the probability or return rate of select extreme geomagnetic disturbances, including the 1859 Carrington event. Here we present initial findings on a unified framework approach to visualize space weather event probability, using a Bayesian model average, in the context of historical extreme events. We present disturbance storm time (Dst ) probability (a proxy for geomagnetic disturbance intensity) across multiple return periods and discuss parameters of interest to policymakers and planners in the context of past extreme space weather events. We discuss the current state of these analyses, their utility to policymakers and planners, the current limitations when compared to other hazards, and several gaps that need to be filled to enhance space weather risk assessments.     

A user’s guide to Lisbon: mobilities,spatial apprenticeship and migrant urban integration*

This paper engages with the ‘mobility turn’ scholarship in order to provide tools for the study of migrants’ integration to urban space. The analysis of urban mobilities draws attention to the practical know-how that underlies mobility practices. I argue that migrants’ urban apprenticeship – that is, the ways migrants learn (to use) city spaces – shape their access to urban resources and their participation in urban life. Based on fieldwork conducted in Lisbon, Portugal, I explore how migrants’ urban knowledges play out in their everyday practices and resonate with broader concerns over migrant integration.     

网络思想政治教育研究的“空间范式”

思想政治教育学科在理论研究中已经形成了多种范式。从现实社会空间向虚拟网络空间的“空间转向”，为思想政治教育新范式的形成提供了崭新的空间条件。网络思想政治教育的快速发展也为其“空间范式”的提出进行了必要的知识积累。“空间范式”凸显马克思主义公共性理论和社会空间理论的理论特性，旨在透过“空间”的维度，发展网络思想政治教育的理论和方法体系。“空间范式”的提出对于进一步凸显网络思想政治教育研究的学术旨趣，凝聚学科共识，培育知识信念，整合学术资源，建构更加专业的话语体系，形成一个影响广泛的网络思想政治教育学术共同体具有重要意义。     

日语“空间性状”的时间映射制约研究

日语空间性状的时间映射具有局部映射性和选择性，映射具有负向语义选择偏好；形成“水平线性空间>垂直线性空间>立体三维空间”维度制约等级。上述制约特质是时空隐喻概念相似性与语言类型特质共同驱动促成的。概念相似性是其内在驱动力，相似者易于映射，反之则受制约性强；日语的时间性特质是其负向语义选择偏好的外在驱动力。     

Surgical Identity Play: The Anatomy Lab Revisited

The anatomy lab has been studied by sociologists interested in professional socialization since the 1950s. This is because the act of dissecting a cadaver is thought to be foundational for both the student's medical knowledge and the development of the student's professional identity. In this paper, I revisit the anatomy lab both historically and ethnographically. Drawing on theoretical insights from the laboratory ethnography tradition within science and technology studies, I show that students use material artifacts in the lab to support their “surgical identity play.” This activity is structured by the laboratory's performative architecture even while it is unsupervised by anatomy faculty. While many analyses of professional socialization focus on how students learn to interact with patients during their training, I show that the anatomy lab experience is an important form of professional socialization because here students learn to employ surgical instruments, language, and dress, and begin to relate to each other as colleagues.