Accelerated Parallel Non-conjugate Sampling for Bayesian Non-parametric Models

Inference of latent feature models in the Bayesian nonparametric setting is generally difficult, especially in high dimensional settings, because it usually requires proposing features from some prior distribution. In special cases, where the integration is tractable, we could sample new feature assignments according to a predictive likelihood. However, this still may not be efficient in high dimensions. We present a novel method to accelerate the mixing of latent variable model inference by proposing feature locations from the data, as opposed to the prior. First, we introduce our accelerated feature proposal mechanism that we will show is a valid Bayesian inference algorithm and next we propose an approximate inference strategy to perform accelerated inference in parallel. This sampling method is efficient for proper mixing of the Markov chain Monte Carlo sampler, computationally attractive, and is theoretically guaranteed to converge to the posterior distribution as its limiting distribution.Comment: Previously known as "Accelerated Inference for Latent Variable Models

The different dimensions of livelihood impacts of Payments for Environmentals Services (PES) schemes: A systematic review

Through a systematic review of peer-reviewed and grey literature, this paper analyzes evidence of the livelihood impacts of Payments for Environmental Services (PES). Forty-six studies assessed PES livelihood impacts. The assessments presented more positive livelihood impacts than negative ones, focusing on financial benefits. Non-monetary and non-material impacts of PES were largely understudied. Most reviews focused on ES providers, hindering the understanding of broader societal impacts. The review yielded examples where participants lost from their participation or where improvements in one livelihood dimension paralleled deterioration in another. Consequently, we identified key research gaps in: i) understanding the social and cultural impacts of PES, ii) evaluating environmental and economic additionality from improving other ES at the expense of cultural ones, iii) and assessing PES impacts in terms of trade-offs between multiple livelihood dimensions. Moreover, increased knowledge is needed on the impact of PES on changes in household expenditure and choice, and on trade-offs between household income and inequality in ES provider communities. Finally, if PES schemes are implemented to sustainably improve livelihoods, targeting disaggregated populations, understanding equity and social power relations within and between ES providers and users, and better monitoring and evaluation systems that consider locally relevant livelihood dimensions are needed

Performance Modelling and Analysis of Mobile Wireless Networks

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Assessment of Emotional Experience and Emotional Recognition in Complicated Grief

There is substantial evidence of bias in the processing of emotion in people with complicated grief (CG). Previous studies have tended to assess the expression of emotion in CG, but other aspects of emotion (mainly emotion recognition, and the subjective aspects of emotion) have not been addressed, despite their importance for practicing clinicians. A quasi-experimental design with two matched groups (Complicated Grief, N D 24 and Non-Complicated Grief, N D 20) was carried out. The Facial Expression of Emotion Test (emotion recognition), a set of pictures from the International Affective Picture System (subjective experience of emotion) and the Symptom Checklist 90 Revised (psychopathology) were employed. The CG group showed lower scores on the dimension of valence for specific conditions on the IAPS, related to the subjective experience of emotion. In addition, they presented higher values of psychopathology. In contrast, statistically significant results were not found for the recognition of emotion. In conclusion, from a neuropsychological point of view, the subjective aspects of emotion and psychopathology seem central in explaining the experience of those with CG. These results are clinically significant for psychotherapists and psychoanalysts working in the field of grief and loss

Two complete mitochondrial genomes from Praticolella mexicana Perez, 2011 (Polygyridae) and gene order evolution in Helicoidea (Mollusca, Gastropoda)

Helicoidea is a diverse group of land snails with a global distribution. While much is known regarding the relationships of helicoid taxa, comparatively little is known about the evolution of the mitochondrial genome in the superfamily. We sequenced two complete mitochondrial genomes from Praticolella mexicana Perez, 2011 representing the first such data from the helicoid family Polygyridae, and used them in an evolutionary analysis of mitogenomic gene order. We found the mitochondrial genome of P. mexicana to be 14,008 bp in size, possessing the typical 37 metazoan genes. Multiple alternate stop codons are used, as are incomplete stop codons. Mitogenome size and nucleotide content is consistent with other helicoid species. Our analysis of gene order suggested that Helicoidea has undergone four mitochondrial rearrangements in the past. Two rearrangements were limited to tRNA genes only, and two involved protein coding gene