Sampling the Variance-Covariance Matrix in the Bayesian Multivariate Probit Model

This paper is concerned with the Bayesian estimation of a Multivariate Probit model. In particular, this paper provides a method to sample the restricted variancecovariance matrix directly from its conditional posterior density. The method allows the application of a standard Gibbs sampling algorithm to sample from the posterior density of the parameters, and hence it avoids the use of a Metropolis step. The method uses a decomposition of the Inverted Wishart density and alternative identification restrictions

THE NEXUS BETWEEN KNOWLEDGE MANAGEMENT AND INNOVATION. A LITERATURE REVIEW

Knowledge management is the new managerial discipline whose aim is to support the processes of knowledge exploitation, memorization, re-use and learning. Therefore, it can be said that knowledge management has, implicitly or explicitly, a strong relationship with innovation management. Despite this fact, knowledge management and innovation management have developed into two separate fields and two distinct contexts of research. Starting from these assumptions, the purpose of this paper is to examine how the connection between knowledge management (KM) and innovation management has been developed in the last 10 years. In order to achieve our goal, an etic approach is employed which encompasses an external view of meaning associations and real-world events. The research combines the qualitative with the quantitative perspective and the whole multi-stage process is dominated by an inductive approach. The analysis focuses on 894 articles that were published in knowledge management and innovation journals, mostly indexed in Scopus and Thomson Reuters databases, during 2006 - 2016. The main results prove that there is a strong connection between KM and innovation management although the number of KM journals that approach topics related to innovation is higher than the number of innovation journals that focus on knowledge-related issues. The concept of "innovation" is by far the most used in the analyzed KM papers, while the term of "knowledge" is frequently used as a generic keyword in the Innovation papers; only a few papers are about a specific topic such as product development, project management, and process improvement - in the case of KM journals - or organizational learning, social capital, and human capital - in the case of Innovation journals. The research findings have both theoretical and practical implications. On the one hand, it synthesizes how the link between knowledge management and innovation management evolved in the last 10 years. On the other hand, it may serve as a handbook of managerial guidelines; it brings forward the knowledge management approaches and tools which can be used for product or process innovations

Emergence of inflationary perturbations in the CSL model

The inflationary paradigm is the most successful model that explains the observed spectrum of primordial perturbations. However, the precise emergence of such inhomogeneities and the quantum-to-classical transition of the perturbations has not yet reached a consensus among the community. The Continuous Spontaneous Localization model (CSL), in the cosmological context, might be used to provide a solution to the mentioned issues by considering a dynamical reduction of the wave function. The CSL model has been applied to the inflationary universe before and different conclusions have been obtained. In this letter, we use a different approach to implement the CSL model during inflation. In particular, in addition to accounting for the quantum-to-classical transition, we use the CSL model to generate the primordial perturbations, that is, the dynamical evolution provided by the CSL model is responsible for the transition from a homogeneous and isotropic initial state to a final one lacking such symmetries. Our approach leads to results that can be clearly distinguished from preceding works. Specifically, the scalar and tensor power spectra are not time-dependent, and retains the amplification mechanism of the CSL model. Moreover, our framework depends only on one parameter (the CSL parameter) and its value is consistent with cosmological and laboratory observations.Comment: 14 pages. Final version. To be published in EPJ

Estimating the Demand for Health Care with Panel Data: A Semiparametric Bayesian Approach

This paper is concerned with the problem of estimating the demand for health care with panel data. A random effects model is specifed in a semiparametric Bayesian fashion using a Dirichlet process prior. This results in a very exible mixture distribution with an in nite number of components for the random effects. Therefore, the model can be seen as a natural extension of prevailing latent class models. A full Bayesian analysis using Markov chain Monte Carlo (MCMC)simulation methods is discussed. The methodology is illustrated with an application using data from Germany

Energy release in the solar atmosphere from a stream of infalling prominence debris

Recent high-resolution and high-cadence EUV imaging has revealed a new phenomenon, impacting prominence debris, where prominence material from failed or partial eruptions can impact the lower atmosphere, releasing energy. We report a clear example of energy release and EUV brightening due to infalling prominence debris that occurred on 2011 September 7-8. The initial eruption of material was associated with an X1.8-class flare from AR11283, occurring at 22:30 UT on 2011 September 7. Subsequently, a semi-continuous stream of this material returned to the solar surface with a velocity v > 150 km/s, impacting a region remote from the original active region between 00:20 - 00:40 UT on 2011 September 8. Using SDO/AIA, the differential emission measure of the plasma was estimated throughout this brightening event. We found that the radiated energy of the impacted plasma was L_rad ~10^27 ergs, while the thermal energy peaked at ~10^28 ergs. From this we were able to determine the mass content of the debris to be in the range 2x10^14 < m < 2x10^15 g. Given typical promimence masses, the likely debris mass is towards the lower end of this range. This clear example of a prominence debris event shows that significant energy release takes place during these events, and that such impacts may be used as a novel diagnostic tool for investigating prominence material properties.Comment: Accepted by AstroPhysical Journal Letters, 6 pages, 5 figure

Quasi-matter bounce and inflation in the light of the CSL model

The Continuous Spontaneous Localization (CSL) model has been proposed as a possible solution to the quantum measurement problem by modifying the Schr\"{o}dinger equation. In this work, we apply the CSL model to two cosmological models of the early Universe: the matter bounce scenario and slow roll inflation. In particular, we focus on the generation of the classical primordial inhomogeneities and anisotropies that arise from the dynamical evolution, provided by the CSL mechanism, of the quantum state associated to the quantum fields. In each case, we obtained a prediction for the shape and the parameters characterizing the primordial spectra (scalar and tensor), i.e. the amplitude, the spectral index and the tensor-to-scalar ratio. We found that there exist CSL parameter values, allowed by other non-cosmological experiments, for which our predictions for the angular power spectrum of the CMB temperature anisotropy are consistent with the best fit canonical model to the latest data released by the Planck Collaboration.Comment: 27 pages, including 6 figures, 2 tables and one Appendix. Final version. Accepted in EPJ