On the relationship between connections and the asymptotic properties of predictive distributions

In a recent paper, Komaki studied the second-order asymptotic properties of predictive distributions, using the Kullback-Leibler divergence as a loss function. He showed that estimative distributions with asymptotically efficient estimators can be improved by predictive distributions that do not belong to the model. The model is assumed to be a multidimensional curved exponential family. In this paper we generalize the result assuming as a loss function any f divergence. A relationship arises between alpha connections and optimal predictive distributions. In particular, using an alpha divergence to measure the goodness of a predictive distribution, the optimal shift of the estimate distribution is related to alpha-covariant derivatives. The expression that we obtain for the asymptotic risk is also useful to study the higher-order asymptotic properties of an estimator, in the mentioned class of loss functions.

Eficacia e ineficacia de la comunicación horizontal en los movimientos sociales. Caso análisis: Oposiciones justas en Cataluña 2011

Las redes sociales están generando un amplio entramado de comunicaciones, a distintos niveles y con distintos objetivos. En este artículo analizamos un caso concreto, fruto de la observación y el seguimiento de un grupo creado para la defensa de unas oposiciones justas para el acceso a la función pública de docentes para educación secundaria. Se trata de un grupo creado como reacción a una serie de posibles irregularidades. Interesa observar tanto la creación del grupo, como las distintas fases que sigue la evolución, muy ligada a la efectividad de los procesos de comunicación, y la vinculación de estos últimos a las posibilidades de acción y resolución del conflicto que existe en la base del grupo

Lattices for 3-Dimensional Fuzzy Data generated by Fuzzy Galois Connections

Vagueness and high dimensional space data are usual features of current data. The paper is an approach to identify conceptual structures among fuzzy three dimensional data sets in order to get conceptual hierarchy. We propose a fuzzy extension of the Galois connections that allows to demonstrate an isomorphism theorem between fuzzy sets closures which is the basis for generating lattices ordered-sets

Transfer entropy reconstruction and labeling of neuronal connections from simulated calcium imaging

Neuronal dynamics are fundamentally constrained by the underlying structural network architecture, yet much of the details of this synaptic connectivity are still unknown even in neuronal cultures in vitro. Here we extend a previous approach based on information theory, the Generalized Transfer Entropy, to the reconstruction of connectivity of simulated neuronal networks of both excitatory and inhibitory neurons. We show that, due to the model-free nature of the developed measure, both kinds of connections can be reliably inferred if the average firing rate between synchronous burst events exceeds a small minimum frequency. Furthermore, we suggest, based on systematic simulations, that even lower spontaneous inter-burst rates could be raised to meet the requirements of our reconstruction algorithm by applying a weak spatially homogeneous stimulation to the entire network. By combining multiple recordings of the same in silico network before and after pharmacologically blocking inhibitory synaptic transmission, we show then how it becomes possible to infer with high confidence the excitatory or inhibitory nature of each individual neuron.

A comparative study of the intercellular connections between parasite/host in two Gelidiocolax/Gelidium algal parasitic systems

Comparative ultrastructural study of the intercellular connections between parasite and host cells in two algal parasitic systems, Gelidiocolax christianae Feldmann and Feldmann/Ge/iV/ium spathulatum (Kutz.) Bornet and Gelidiocolax deformans Seoane Camba/Gelidium sesquipedale (Clem.) Thur, shows quantitative and structural differences. The number of free conjunctor cells (before fusión with the adjacent host cells) differs between the two parasitic systems and is inversely related to the number of complex pit connections. The fibrillar cell wall structure of the conjunctor cells and the lamellar structure of the complex pit plugs in the two systems are also different A hypothesis concerning the different activity of the conjuntor cell wall in the two parasitic systems, related with the different structural appearance, is proposed.

Innovation and horizontal mergers in a vertically related industry

This paper analyzes the effects of horizontal mergers on innovation and consumer welfare in a vertically related industry context, in which downstream firms compete for customers with a differentiated final good and can undertake R&D activities to reduce their unit costs. Upstream and downstream horizontal mergers can take place. The results suggest that competition authorities aiming to promote innovation and consumer welfare should treat upstream and downstream mergers differently, since horizontal mergers between upstream firms are detrimental to innovation and consumer welfare. By contrast, policy makers should evaluate the market characteristics under downstream integration. We show that downstream horizontal mergers can be both innovation and consumer welfare enhancing in the short run, when the markets are sufficiently small. Keywords: Horizontal Mergers. Innovation. Vertical Relations. JEL Classification Numbers: L22, L41, O32

Social media marketing strategy: concepts and steps to form connections

The emergence of social media has led many companies to adopt them as marketing channels. Yet these media are novel enough that many marketers are still unsure as to how to plan an effective social media marketing strategy, actually oriented towards engaging prospects. In this article, we discuss how to shape a social media strategy. To do so, we show the key concepts and steps involved in the planning process of this type of digital marketing strategy, and how to measure their impact immediately.

Horizontal Grid Size Selection and its Influence on Mesoscale Model Simulations

The use of two-dimensional spectral analysis applied to terrain heights in order to determine characteristic terrain spatial scales and its subsequent use for the objective definition of an adequate grid size required to resolve terrain forcing are presented in this paper. In order to illustrate the influence of grid size, atmospheric flow in a complex terrain area of the Spanish east coast is simulated by the Regional Atmospheric Modeling System (RAMS) mesoscale numerical model using different horizontal grid resolutions. In this area, a grid size of 2 km is required to account for 95% of terrain variance. Comparison among results of the different simulations shows that, although the main wind behavior does not change dramatically, some small-scale features appear when using a resolution of 2 km or finer. Horizontal flow pattern differences are significant both in the nighttime, when terrain forcing is more relevant, and in the daytime, when thermal forcing is dominant. Vertical structures also are investigated, and results show that vertical advection is influenced highly by the horizontal grid size during the daytime period. The turbulent kinetic energy and potential temperature vertical cross sections show substantial differences in the structure of the planetary boundary layer for each model configuration