Non‐Parametric Estimation of the Conditional Distribution of the Interjumping Times for Piecewise‐Deterministic Markov Processes

This paper presents a non‐parametric method for estimating the conditional density associated to the jump rate of a piecewise‐deterministic Markov process. In our framework, the estimation needs only one observation of the process within a long time interval. Our method relies on a generalization of Aalen's multiplicative intensity model. We prove the uniform consistency of our estimator, under some reasonable assumptions related to the primitive characteristics of the process. A simulation study illustrates the behaviour of our estimator.     

Criticism From Within An Interview With Kerrie James

Kerrie James is the Clinical Director at Relationships Australia (NSW). Having trained in family therapy in Canada in 1979, Kerrie came back to Australia and was employed by Relationships Australia (NSW), then the Marriage Guidance Council, to develop one of the first professional training programs in family therapy. Since then Kerrie has taught and supervised in family therapy both in Australia and overseas. Through her publications and presentations, Kerrie has made a significant contribution to the feminist debate within family therapy. Kerrie is currently completing a Masters in Womens Studies in which she is researching connections between the social constructions of gender and violence.     

"Race" as an Interaction Order Phenomenon: W.E.B. Du Bois's "Double Consciousness" Thesis Revisited

This article reports on a study of interaction between Americans who self-identify as Black and White that reveals underlying expectations with regard to conversation that differ between the two groups. These differences seem not to have much to do with class or gender, but rather vary largely according to self-identification by "race." The argument of this paper will be that the social phenomena of "race" are constructed at the level of interaction whenever Americans self-identified as Black and White speak to one another. This is because the Interaction Order expectations with regard to both self and community vary between the two groups. Because the "language games" and conversational "preferences" practiced by the two groups are responsive to different Interaction Orders, the "working consensus" is substantially different, and as a consequence, conversational "moves" are not recognizably the same. It will be argued that a great deal of institutional discrimination against African Americans can be traced to this source.     

Coordinating Service‐Sensitive Demand and Capacity by Adaptive Decision Making: An Application of Case‐Based Decision Theory*

The subject of this article is the simultaneous choice of product price and manufacturing capacity if demand is stochastic and service‐level sensitive. In this setting, capacity as well as price have an impact on demand because several aspects of service level depend on capacity. For example, delivery time will be reduced if capacity is increased given a constant demand rate. We illustrate the relationship between service level, capacity, and demand reaction by a stylized application problem from the after‐sales services industry. The reaction of customers to variations in service level and price is represented by a kinked price‐demand‐rate function. We first derive the optimal price‐capacity combination for the resulting decision problem under full information. Subsequently, we focus on a decision maker (DM) who lacks complete knowledge of the demand function. Hence the DM is unable to anticipate the service level and consequently cannot identify the optimal solution. However, the DM will acquire additional information during the sales process and use it in subsequent revisions of the price‐capacity decision. Thus, this decision making is adaptive and based on experience. In contrast to the literature, which assumes certain repetitive procedures somewhat ad hoc, we develop an adaptive decision process based on case‐based decision theory (CBDT) for the price‐capacity problem. Finally, we show that a CBDT DM in our setting eventually finds the optimal solution, if the DM sets the price based on absorption costs and adequately adjusts the capacity with respect to the observed demand.     

Prosocial risk taking and interpersonal regret in children: An individual differences study

The relations between prosocial risk taking (taking a risk to benefit another person; PSRT) and interpersonal regret (regret that one's choices have caused a poor outcome for another person) were examined in 192 children aged 7–9. PSRT was measured by children's choices within a gambling task in which one choice guaranteed participants a good prize whereas the other involved risking this prize to help a peer also win a good prize. Interpersonal regret was assessed within the same task by examining children's change in emotion when they learned they would have won a better prize for a peer had they chosen differently. Performance on this task was also examined in relation to sympathy and resource sharing. Findings indicated that the operationalizations of PSRT and interpersonal regret were meaningful. Children who took a prosocial risk were more generous in a resource sharing task. In some circumstances, children who took a prosocial risk were also more likely to experience interpersonal regret than those who did not take a prosocial risk, indicating that experiencing interpersonal regret may be related to individual differences in prosociality. However, experiencing interpersonal regret did not have a direct effect on subsequent prosocial behavior, when measured by resource sharing. We consider findings in relation to a possible distinction between outcome and process regret and the generalizability of the behavioral consequences of regret.     

Exploratory data structure comparisons: three new visual tools based on principal component analysis

Datasets are sometimes divided into distinct subsets, e.g. due to multi-center sampling, or to variations in instruments, questionnaire item ordering or mode of administration, and the data analyst then needs to assess whether a joint analysis is meaningful. The Principal Component Analysis-based Data Structure Comparisons (PCADSC) tools are three new non-parametric, visual diagnostic tools for investigating differences in structure for two subsets of a dataset through covariance matrix comparisons by use of principal component analysis. The PCADCS tools are demonstrated in a data example using European Social Survey data on psychological well-being in three countries, Denmark, Sweden, and Bulgaria. The data structures are found to be different in Denmark and Bulgaria, and thus a comparison of for example mean psychological well-being scores is not meaningful. However, when comparing Denmark and Sweden, very similar data structures, and thus comparable concepts of well-being, are found. Therefore, inter-country comparisons are warranted for these countries.     

Comfort and Burden: The Changing Meaning of Home for Owners At‐Risk of Foreclosure

The home is a meaningful site of security, control, and comfort. On the basis of ethnographic data, this paper examines how the meaning of home changes for people at‐risk of foreclosure and how their subsequent actions are shaped by these meanings. I explore shifts in the meaning of home, with particular attention to the interaction of race, family structure, and immigrant status in these constructions. As owners respond to foreclosure threat, interactions with lenders further leave owners with a sense that the process is beyond their control, threatening ontological security and a sense of being at home in the world.