Estimation of covariance functions by a fully data-driven model selection procedure and its application to Kriging spatial interpolation of real rainfall data

In this paper, we propose a data-driven model selection approach for the nonparametric estimation of covariance functions under very general moments assumptions on the stochastic process. Observing i.i.d replications of the process at fixed observation points, we select the best estimator among a set of candidates using a penalized least squares estimation procedure with a fully data-driven penalty function, extending the work in Bigot et al. (Electron J Stat 4:822–855, 2010). We then provide a practical application of this estimate for a Kriging interpolation procedure to forecast rainfall data.     

Home is Another Country: Ethnic Identification in Philippine Homeland Tours

Using data based mainly on 29 in-depth interviews with participants from three Philippine homeland tours, I conceptualize the process of ethnic identification through homeland tourism more precisely as the adoption of strategies aimed at symbolically demarcating grounds for informants’ belonging in the Philippines as Americans. This conceptualization highlights ethnic identification as a problem, one that must be “worked on” insofar as claims to ethnic identity must be substantiated. It is also a problem insofar as this work of belonging is displaced and misrecognized. In working to establish a connection with the homeland, I argue that my informants are working out their belonging in America within the terms of distinction set by multiculturalism.     

Does community violence exposure predict trauma symptoms in a sample of maltreated youth in foster care?

Previous studies find that childhood exposure to family and community violence is associated with trauma symptoms. Few studies, however, have explored whether community violence exposure (CVE) predicts trauma symptoms after controlling for the effects associated with family violence exposure (FVE). In the current study, CVE and FVE were examined in a sample of 179 youth with a recent history of maltreatment. CVE was associated with trauma symptoms after controlling for FVE, but FVE was not associated with trauma symptoms after controlling for CVE. In addition, negative coping strategies (e.g., self-harm, interpersonal aggression) partially mediated the association between CVE and trauma symptoms. These findings are discussed in terms of their implications for interventions aimed at addressing the needs of children exposed to violence.     

Rural structural change,poverty and income distribution: evidence from Peru

Some rural regions of Peru showed remarkable rates of poverty reduction and inequality reduction between 2004 and 2012, while others lagged behind. Using microsimulation-based decompositions, we analyse the driving forces behind these trends, finding that rural poverty and inequality reductions are mainly attributable to increasing labour incomes in Peru’s agricultural sector and, to a smaller extent, increasing public transfers. In earlier years, higher returns to experience drive these results, while in later years, increasing staple-crop yields and prices are of key importance. Further, remuneration of working hours increases in reaction to labour-supply shortages in rural areas. The accompanying rising incomes and non-agricultural job creation is less pro-poor than would be ideal, as they benefit more highly skilled workers. Further, shrinking farm sizes hampers poverty reduction and income-inequality reduction. Policies should target the participation of the poor in high-value (non-)agricultural activities, especially if positive trends in commodity prices are only transitory.     

Artistic autonomy in non-autonomous contexts: reframing collective agency and insurgence from Caribbean artist-managed spaces

This article engages the debates on collective agency, autonomy, institutional practices and socially engaged art by comparatively analyzing the activity of two Caribbean artist-managed spaces which emerged in the first decade of the twenty-first century: BetaLocal in Puerto Rico and L’Artocarpe in Guadeloupe. Based on fieldwork research and interviews with artists and art audiences, the examination of both projects will be driven by three main objectives: the first has to do with assessing in which ways both initiatives are shaped by their emergence in territories still attached to political and economic bonds. Secondly, I attempt to measure how both collective artistic organizations can approach the material conditions of cultural (re)production and autonomy, confronting the restrictions of Puerto Rican and Guadeloupean cultural and economic policies. Finally, I intend to locate my case study within a global panorama of socially engaged and collaborative artistic practice. From this perspective, I assert that collaborative practices emerging in still dependent contexts constitute a privileged viewpoint in order to examine issues of collective agency, empowerment and alternative futures.     

Bivariate beta regression models: joint modeling of the mean,dispersion and association parameters

In this paper a bivariate beta regression model with joint modeling of the mean and dispersion parameters is proposed, defining the bivariate beta distribution from Farlie–Gumbel–Morgenstern (FGM) copulas. This model, that can be generalized using other copulas, is a good alternative to analyze non-independent pairs of proportions and can be fitted applying standard Markov chain Monte Carlo methods. Results of two applications of the proposed model in the analysis of structural and real data set are included.     

Do youth in out-of-home care receive recommended mental health and educational services following screening evaluations?

For children in out-of-home care, a significant gap exists between those who need services and those who receive them. Screening all children in out-of-home care is recommended to reduce this gap. This study was designed to determine if recommendations from mental health and educational screening evaluations were related to service implementation for youth in out-of-home care. Screening evaluations were completed with 171 maltreated youth (ages 9 to 11) who had been placed in out-of-home care within the prior year. Written reports summarizing the findings were provided to children's caseworkers. Service utilization was assessed at baseline (T1; before screening reports were completed) and follow-up (T2; 9–12 months later) interviews. For children not already receiving services at T1, logistic regression analyses tested the association between T1 recommendations for services and new service implementation by T2. Mental health (youth-report) and educational (teacher-report) outcomes were analyzed separately. Screening evaluations identified 22% of children with unmet mental health needs and 36% with unmet educational needs at T1. Children who received a recommendation for new services (i.e., all of those with unmet needs) were more likely to receive mental health (OR = 2.50, p = .06) and/or educational (OR = 3.54, p = .04) services by T2 than children who did not receive recommendations for services. While recommendations increased the odds of receiving services, almost half of the children with unmet mental health needs did not receive services, and 84% of children with unmet educational needs did not receive services by T2. Much work remains to ensure youth receive needed services.     

Multi‐Family Therapy with a Reflecting Team: A Preliminary Study on Efficacy among Opiate Addicts in Methadone Maintenance Treatment

In this study, we evaluate the efficacy of multi‐family therapy at reducing the addiction severity and at improving the psychological and family dynamics of opiate addicts receiving methadone treatment at a public treatment center. The study compares multi‐family therapy with a reflecting team (MFT‐RT) and a standard treatment following a methadone maintenance treatment program. The results show that multi‐family therapy with a reflecting team effectively reduces the addiction severity in several of the areas evaluated and noted that this effect is superior to standard treatment. The psychotherapy patients showed improvement in the areas of employment and social support; their drug use diminished and their psychiatric condition improved. At the same time, they needed a lower daily dose of methadone. In addition, the group undergoing standard treatment showed a noteworthy deterioration in their medical condition. Both groups showed a significant increase in their alcohol use. When applied to family treatments, the systemic‐constructivist approach by the reflecting team offers combined techniques that can help improve care for the families of patients with addiction problems.     

MINIMUM QUADRATIC DISTANCE ESTIMATION FOR A PARAMETRIC FAMILY OF DISCRETE DISTRIBUTIONS DEFINED RECURSIVELY

The distribution function of a random sum can easily be computed iteratively when the distribution of the number of independent identically distributed elements in the sum is itself defined recursively. Classical estimation procedures for such recursive parametric families often require specific distributional assumptions (e.g. Poisson, Negative Binomial). The minimum distance estimator proposed here is an estimator within a larger parametric family. The estimator is consistent, efficient when the parametric family is truncated, and can be made either robust or asymptotically efficient when the parametric family has infinite range. Its asymptotic distribution is derived. A brief illustration with Automobile Insurance data is included.     

Heteroscedastic Weibull-Normal Mixture Models: A Bayesian Approach

In this article, we propose Bayesian methodology to obtain parameter estimates of the mixture of distributions belonging to the normal and biparametric Weibull families, modeling the mean and the variance parameters. Simulated studies and applications show the performance of the proposed models.