The increase in marital status differences in mortality up to the oldest age in seven European countries, 1990-99

We investigate mortality differentials by marital status among older age groups using a database of mortality rates by marital status at ages 40 and over for seven European countries with 1 billion person-years of exposure. The mortality advantage of married people, both men and women, continues to increase up to at least the age group 85-89, the oldest group we are able to consider. We find the largest absolute differences in mortality levels between marital status groups are at high ages, and that absolute differentials are: (i) greater for men than for women; (ii) similar in magnitude across countries; (iii) increase steadily with age; and (iv) are greatest at older age. We also find that the advantage enjoyed by married people increased over the 1990s in almost all cases. We note that results for groups such as older divorced women need to be interpreted with caution.     

Using unlabelled data to update classification rules with applications in food authenticity studies

Summary.  An authentic food is one that is what it purports to be. Food processors and consumers need to be assured that, when they pay for a specific product or ingredient, they are receiving exactly what they pay for. Classification methods are an important tool in food authenticity studies where they are used to assign food samples of unknown type to known types. A classification method is developed where the classification rule is estimated by using both the labelled and the unlabelled data, in contrast with many classical methods which use only the labelled data for estimation. This methodology models the data as arising from a Gaussian mixture model with parsimonious covariance structure, as is done in model-based clustering. A missing data formulation of the mixture model is used and the models are fitted by using the EM and classification EM algorithms. The methods are applied to the analysis of spectra of food-stuffs recorded over the visible and near infra-red wavelength range in food authenticity studies. A comparison of the performance of model-based discriminant analysis and the method of classification proposed is given. The classification method proposed is shown to yield very good misclassification rates. The correct classification rate was observed to be as much as 15% higher than the correct classification rate for model-based discriminant analysis.     

Dual conditionality in welfare and housing for lone parents in Ireland: Change and continuity?

This article focuses on multiple conditionalities in benefits and housing from the perspective of lone parents in Ireland. The Irish case echoes historical experiences elsewhere and is offered not as an exceptional or extreme case but as an in-depth single case study and a lens for comparison. Although contemporary forms and combinations of conditionalities are new to Ireland, the experience of multiple conditionalities in benefits and housing is not new. Hence, a historical perspective is used to examine contemporary multiple conditionalities in benefits and housing. In the past, conditional regimes for lone parents were justified in terms of moral reformation for first time mothers and avoiding moral contagion of mothers with subsequent pregnancies. In contemporary times, in the case of employment, lone parents are problematised as working part-time and “nesting” on in-work-benefits, and in the case of homelessness, lone parents who prioritise the security of tenure embedded in social housing are accused of “gaming” the system. While acknowledging ambiguities, the paper finds the overlap of welfare and housing discourses contribute, intentionally or unintentionally, to epistemological foundations or understandings of lone parents, shifting public perceptions, and framing them as “problems” to be solved. They simultaneously temper lone parents' expectations. Increased precarity and disempowerment is associated with dual conditionality, and ontological uncertainty is multiplied when experienced cumulatively across employment, social protection, and housing regimes in a context of generally poor public services and labour market precarity and in the historical context of stigmatisation. Nonetheless, lone parents demonstrate considerable agency.     

Estimation of the intensity function of an inhomogeneous Poisson process with a change‐point

Recent work on point processes includes studying posterior convergence rates of estimating a continuous intensity function. In this article, convergence rates for estimating the intensity function and change‐point are derived for the more general case of a piecewise continuous intensity function. We study the problem of estimating the intensity function of an inhomogeneous Poisson process with a change‐point using non‐parametric Bayesian methods. An Markov Chain Monte Carlo (MCMC) algorithm is proposed to obtain estimates of the intensity function and the change‐point which is illustrated using simulation studies and applications. The Canadian Journal of Statistics 47: 604–618; 2019 © 2019 Statistical Society of Canada     

Model-based clustering with sparse covariance matrices

Statistics and Computing - Finite Gaussian mixture models are widely used for model-based clustering of continuous data. Nevertheless, since the number of model parameters scales quadratically with...     

Women’s experiences of,and attitudes to,maternity education across the perinatal period in Victoria,Australia: A mixed-methods approach

Background

While the provision of maternity education across the perinatal period can increase the confidence and self-efficacy in childbearing women, there is still thought to be a lack of effective educational resources for parenthood. This study, conducted in Victoria, Australia, investigated women’s experiences of, and attitudes to education communicated in maternity service provision.