Improved Transferability of Data‐Driven Damage Models Through Sample Selection Bias Correction

Damage models for natural hazards are used for decision making on reducing and transferring risk. The damage estimates from these models depend on many variables and their complex sometimes nonlinear relationships with the damage. In recent years, data‐driven modeling techniques have been used to capture those relationships. The available data to build such models are often limited. Therefore, in practice it is usually necessary to transfer models to a different context. In this article, we show that this implies the samples used to build the model are often not fully representative for the situation where they need to be applied on, which leads to a “sample selection bias.” In this article, we enhance data‐driven damage models by applying methods, not previously applied to damage modeling, to correct for this bias before the machine learning (ML) models are trained. We demonstrate this with case studies on flooding in Europe, and typhoon wind damage in the Philippines. Two sample selection bias correction methods from the ML literature are applied and one of these methods is also adjusted to our problem. These three methods are combined with stochastic generation of synthetic damage data. We demonstrate that for both case studies, the sample selection bias correction techniques reduce model errors, especially for the mean bias error this reduction can be larger than 30%. The novel combination with stochastic data generation seems to enhance these techniques. This shows that sample selection bias correction methods are beneficial for damage model transfer.     

Intergenerational cooperation within the household: a Public Good game with three generations

We analyze cooperation of individuals in a family context, using a Public Good game. In a lab experiment, 165 individuals from 55 three-generation families (youth, parent, and grandparent) play a repeated Public Good game in three different treatments: one in which three members of the same family play each other (family), a second with the youth and two non-family members, while preserving the previous generational structure (inter-generational), and a third in which three randomly-selected players play each other (random). We find that all the age groups cooperate more when playing with relatives, indicating that family ties may have a positive relationship to contributions to the Public Good. We also find that this trend is more evident for the youths and the parents than for the grandparents. Furthermore, young individuals tend to cooperate less than older generations, especially in non-family treatments. Our results serve as evidence of the relationship between family ties and inter-generational cooperative behaviors.

     

On hysteretic vector autoregressive model with applications

This paper proposes a new hysteretic vector autoregressive (HVAR) model in which the regime switching may be delayed when the hysteresis variable lies in a hysteresis zone. We integrate an adapted multivariate Student-t distribution from amending the scale mixtures of normal distributions. This HVAR model allows for a higher degree of flexibility in the degrees of freedom for each time series. We use the proposed model to test for a causal relationship between any two target time series. Using posterior odds ratios, we overcome the limitations of the classical approach to multiple testing. Both simulated and real examples herein help illustrate the suggested methods. We apply the proposed HVAR model to investigate the causal relationship between the quarterly growth rates of gross domestic product of United Kingdom and United States. Moreover, we check the pairwise lagged dependence of daily PM2.5 levels in three districts of Taipei.     

Accurate computation of single and product moments of order statistics under progressive censoring

An accurate procedure is proposed to calculate approximate moments of progressive order statistics in the context of statistical inference for lifetime models. The study analyses the performance of power series expansion to approximate the moments for location and scale distributions with high precision and smaller deviations with respect to the exact values. A comparative analysis between exact and approximate methods is shown using some tables and figures. The different approximations are applied in two situations. First, we consider the problem of computing the large sample variance–covariance matrix of maximum likelihood estimators. We also use the approximations to obtain progressively censored sampling plans for log-normal distributed data. These problems illustrate that the presented procedure is highly useful to compute the moments with precision for numerous censoring patterns and, in many cases, is the only valid method because the exact calculation may not be applicable.     

Brazil’s non-indifference: a case for a feminist diplomatic agenda or geopolitics as usual?

At the beginning of the twenty-first century, Brazil took advantage of its economically and politically privileged position to challenge global normative structures. In 2004, the concept of “non-indifference” was integrated into the Brazilian vocabulary of foreign policy, justifying and legitimating the country’s acceptance of the invitation to command the United Nations Stabilization Mission in Haiti (MINUSTAH). On the one hand, non-indifference can be read as a discursive maneuver that enabled Brazil to accommodate its non-interventionist agenda to an old geopolitical game, given the pressure imposed upon “global players” to respond effectively and assertively to threats to international peace and security. On the other hand, the “Brazilian way” could also be seen as an alternative to a highly masculinized geopolitical approach to international security. This paper explores possible limitations, tensions and/or opportunities that emerge from the encounter between a feminist diplomatic agenda and a masculinizing ordering of the international space. It does so by contrasting Brazil’s ambition for a permanent seat on the United Nations Security Council (UNSC), the club of powerful states, with Brazil’s diplomatic and military performance during MINUSTAH, widely evaluated as a success due to characteristics such as solidarity, generosity, flexibility and the “warm conviviality” of Brazilian culture.     

Symbolic correlation integral

This paper aims to introduce the concept of symbolic correlation integral SC that is extensively used in many scientific fields. The new correlation integral SC avoids the noisy parameter 𝜀 of the classical correlation integral, defined by Grassberger and Procaccia (1983 Grassberger, P., Procaccia, I. (1983). Measuring the strangeness of strange attractors. Physica D: Nonlinear Phenomena 9(1–2):189–208.[Crossref], [Web of Science ®] , [Google Scholar]) and extensively used for constructing correlation-integral-based statistics, as in the BDS test. Once the free parameter 𝜀 disappears, it is possible to construct a nonparametric powerful test for independence that can also be used as a diagnostic tool for model selection. The symbolic correlation integral is also extended to deal with multivariate models, and a test for causality is proposed as an example of the theoretical power of the new concept. With extensive Monte Carlo simulations, the paper shows the good size and power performance of symbolic correlation-integral-based tests.     

Ecosocial change and community resilience: The case of “Bönan” in glocal transition

ABSTRACT

The aim of this article was to identify and discuss ecosocial changes and community resilience mechanisms in a coastal fishing community of Sweden – Bönan. Data were collected through eight semi-structured interviews and field observations. An abductive thematic analysis was used to analyze data and background literature. The findings showed that Bönan has been exposed to a combination of ecosocial changes that have transformed the community, and therefore required community resilience interventions. This article concludes that social workers need to take an active part in ecosocial work for enhancing community resilience.     

Sharing the surplus and proportional values

Theory and Decision - We introduce a family of proportional surplus division values for TU-games. Each value first assigns to each player a compromise between her stand-alone worth and the average...     

高校开展咏唱爱国主义歌曲活动的意义和经验分析——以祖国七十大庆高校开展咏唱爱国主义歌曲活动为例

爱国主义歌曲作为对祖国抒发赞颂之情的歌曲,是“光荣颂”“欢乐颂”“祝福颂”的有机统一,是培育和践行社会主义核心价值观的重要载体。从精神价值而言,爱国主义歌曲具有社会公共性、历史恒久性、无比崇高性。高校开展咏唱爱国主义歌曲活动,能增进学生对祖国的自豪之情,提升其民族自信,激发其报国之志。高校开展咏唱爱国主义歌曲活动,即要精选优异的爱国主义歌曲音乐本体,又要注重发挥高校教师的带头作用,还要加强学校各级组织机构和辅导员队伍的引领作用。高校党政领导对这类歌咏活动要进一步提高认识站位、增强重视程度、加强条件支持。