Adaptive lifting for nonparametric regression

Many wavelet shrinkage methods assume that the data are observed on an equally spaced grid of length of the form 2^J for some J. These methods require serious modification or preprocessed data to cope with irregularly spaced data. The lifting scheme is a recent mathematical innovation that obtains a multiscale analysis for irregularly spaced data. A key lifting component is the “predict” step where a prediction of a data point is made. The residual from the prediction is stored and can be thought of as a wavelet coefficient. This article exploits the flexibility of lifting by adaptively choosing the kind of prediction according to a criterion. In this way the smoothness of the underlying ‘wavelet’ can be adapted to the local properties of the function. Multiple observations at a point can readily be handled by lifting through a suitable choice of prediction. We adapt existing shrinkage rules to work with our adaptive lifting methods. We use simulation to demonstrate the improved sparsity of our techniques and improved regression performance when compared to both wavelet and non-wavelet methods suitable for irregular data. We also exhibit the benefits of our adaptive lifting on the real inductance plethysmography and motorcycle data.     

Predicting after-care outcomes: the importance of 'felt' security

Young people who ‘age out of care’ generally do not have the continuing source of emotional, social and financial support that is available to most young people in their transition to early adulthood. They therefore face the challenges of making various transitions with fewer resources and less support, and at an earlier age and in a less graduated way than young people of the same age in the general population. Some, however, manage this process more successfully than others. The current study examines the links between stability, perceived or ‘felt’ security and later outcomes for young people 4–5 years after leaving care. It is based on a four‐wave longitudinal study over 5 years of 47 young people leaving care in New South Wales, Australia. Felt security in care, and continuity and social support beyond care were the main significant predictors of these young people’s outcomes 4–5 years after leaving care. While stability in care was important, this may be as a means to an end–building a sense of security, belonging and a network of social support.     

Tractable Bayesian learning of tree belief networks

In this paper we present decomposable priors, a family of priors over structure and parameters of tree belief nets for which Bayesian learning with complete observations is tractable, in the sense that the posterior is also decomposable and can be completely determined analytically in polynomial time. Our result is the first where computing the normalization constant and averaging over a super-exponential number of graph structures can be performed in polynomial time. This follows from two main results: First, we show that factored distributions over spanning trees in a graph can be integrated in closed form. Second, we examine priors over tree parameters and show that a set of assumptions similar to Heckerman, Geiger and Chickering (1995) constrain the tree parameter priors to be a compactly parametrized product of Dirichlet distributions. Besides allowing for exact Bayesian learning, these results permit us to formulate a new class of tractable latent variable models in which the likelihood of a data point is computed through an ensemble average over tree structures.     

Financial Attitudes and Responsible Spending Behavior of Emerging Adults: Does Geographic Location Matter?

The current study examined the role of geographic location on financial achievement attitudes, financial power attitudes, and responsible spending behaviors of emerging adults from a family financial socialization model perspective. Using data from the Emerging Adult Financial Capability Study (EAFCS), the sample consisted of emerging adult college students (N?=?2847) from three unique regions in the United States as well as students from Portugal. Hierarchical linear regression and ANOVA models were used to examine the patterns of similarities and differences among regions according to the family financial socialization model. Results suggest that financial achievement attitudes, financial power attitudes, and responsible spending behaviors differ across locations. Results also revealed that greater financial achievement attitudes and power attitudes were associated with fewer responsible spending behaviors. Results did not indicate that geographic location moderated the link between financial achievement attitudes or power attitudes and spending behaviors. The results suggest that financial education be adapted and conducted in a way that targets particular financial attitudes specific to each distinct region.     

The Social Psychology of Corruption: Why It Does Not Exist and Why It Should

In recent decades, corruption has emerged as a major cause of global inequality and an important subject of social scientific research. This article argues that social psychologists have not taken full advantage of analytical tools at their disposal to generate explanatory accounts of corruption in non‐Western contexts. In the first part of the article, the author maintains that the lack of social psychological research on why people engage in corruption is due to the dearth of empirical data on corruption, the theoretical complexity of this phenomenon, and current popularity of neoliberalism in politics and academic research. In the second part of the article, the author argues that the symbolic interactionism school of social psychology has a number of tools that could be more helpful in exploring the causes of corruption in non‐Western settings than rational‐choice approaches that are currently en vogue. The article concludes with an argument that such analyses could generate culturally sensitive as well as policy‐relevant theories of corruption.     

Optimization of a product performance using mixture experiments including process variables

This article presents a case study of a chemical compound used in the delay mechanism to start a rocket engine. The compound consists in a three-component mixture. Besides the components proportions, two process variables are considered. The aim of the study is to investigate the mix components proportions and the levels of process variables that set the expected delay time as close as possible to the target value and, at the same time, minimize the width of prediction interval for the response. A linear regression model with normal responses was fitted. Through the model developed, the optimal components proportions and the levels of the process variables were determined. For the model selection, the use of the backward method with an information criterion proved to be efficient in the case under study.     

Sexual Aggression among Brazilian College Students: Prevalence of Victimization and Perpetration in Men and Women

Despite the increased attention devoted to sexual aggression among college students in the international research literature, Brazil has no systematic studies on the prevalence of sexual aggression in college populations. The present research measured the prevalence of sexual aggression and victimization since age 14 among 742 first-year college students in Brazil (411 women). A Portuguese version of the Short Form of the Sexual Experiences Survey (Koss et al., 2007 Koss , M. P. , Abbey , A. , Campbell , R. , Cook , S. , Norris , J. , et al. . ( 2007 ). Revising the SES: A collaborative process to improve assessment of sexual aggression and victimization . Psychology of Women Quarterly , 31 , 357 – 370 .[Crossref], [Web of Science ®] , [Google Scholar]) was administered to collect information from men and women as both victims and perpetrators of sexual aggression. The overall prevalence rate of victimization was 27% among men and 29% among women. Except for sexual coercion and attempted sexual coercion, there were no significant gender differences in victimization rates concerning nonconsensual sexual acts and aggressive strategies. In contrast, perpetration rates were significantly higher among men (33.7%) than among women (3%). The findings challenge societal beliefs that men are unlikely to be sexually coerced. Explanations are proposed for the disparity between male victimization and female perpetration rates based on traditional gender roles in Brazil.