758 research outputs found

    Composite likelihood estimation for the Brown-Resnick process

    Get PDF
    Genton et al. (2011) investigated the gain in efficiency when triplewise, rather than pairwise, likelihood is used to fit the popular Smith max-stable model for spatial extremes. We generalize their results to the Brown-Resnick model and show that the efficiency gain is substantial only for very smooth processes, which are generally unrealistic in application

    An Extension Educator Perspective on Adverse Childhood Experiences

    Get PDF
    Research on adverse childhood experiences (ACEs) has garnered a great deal of attention and is increasingly used to demonstrate the negative impact of stressful and traumatic childhood experiences on psychological and physical health. ACEs have become a focus of local and state organizations and coalitions concerned about the well-being of children and their families, resulting in a growing number of Extension professionals becoming involved in these initiatives. In this article we provide an overview and analysis of seminal and more recent ACEs research and offer suggestions about where an understanding of and response to ACEs might fit into the work of Extension educators

    Geostatistics of Dependent and Asymptotically Independent Extremes

    Get PDF
    Spatial modeling of rare events has obvious applications in the environmental sciences and is crucial when assessing the effects of catastrophic events (such as heatwaves or widespread flooding) on food security and on the sustainability of societal infrastructure. Although classical geostatistics is largely based on Gaussian processes and distributions, these are not appropriate for extremes, for which max-stable and related processes provide more suitable models. This paper provides a brief overview of current work on the statistics of spatial extremes, with an emphasis on the consequences of the assumption of max-stability. Applications to winter minimum temperatures and daily rainfall are describe

    Управління трудовим потенціалом при створенні інноваційної продукції

    Get PDF
    Super-resolution microscopy (SRM) bypasses the diffraction limit, a physical barrier that restricts the optical resolution to roughly 250 nm and was previously thought to be impenetrable. SRM techniques allow the visualization of subcellular organization with unprecedented detail, but also confront biologists with the challenge of selecting the best-suited approach for their particular research question. Here, we provide guidance on how to use SRM techniques advantageously for investigating cellular structures and dynamics to promote new discoveries
    corecore