13,238 research outputs found
Beppe Grillo’s success is not a rejection of austerity, but a protest against the corruption and inefficiency of the Italian political system
The success of Beppe Grillo’s ‘5 Stars Movement’ in Italy’s elections on the 24-25 February has been regarded by some commentators as a rejection of austerity by the Italian electorate. Marco Simoni argues that rather than rejecting austerity, Italian voters were primarily protesting against decades of economic stagnation, and a political system which is prone to corruption and clientelism. He concludes that unless mainstream politics can reorganise around a credible reform agenda, populist movements will continue to play a key role in the country
The Medical Toxicologist in an Albanian Court: Ethical and Legal Issues
Recent developments in the field of forensic medicine and the judicial practice are both factors influencing considerably toward an increasing role of toxicologists in court hearings and litigation processes. The role of forensic toxicologist has been until a few decennia before a prerogative of the medico-legal specialists, but meanwhile a subspecialty of the general toxicology seems to have been created. Vis-Ã -vis the increasing presence of toxicologists in penal procedures of poisoning and intoxications, Albanian courts have created their own precedents and bylaws, regulating the presence, the opinion taking, and the relative importance such an expert opinion will have on the final
sentence. Due to a multiplicity of factors, legal terminology with regard to drugs of abuse needs to be revised and parallel to such a revision a better defining of the role of expert toxicologist as a collector and interpreter of the scientific proofs seems necessary. Overlapping competencies with judicial bodies and confusing legislative measures will do nothing else but complicate issues that should be and can be easily resolved, through simple and appropriate interventions at different levels
Feshbach resonances and weakly bound molecular states of boson-boson and boson-fermion NaK pairs
We study theoretically magnetically induced Feshbach resonances and
near-threshold bound states in isotopic NaK pairs. Our calculations accurately
reproduce Feshbach spectroscopy data on NaK and explain the origin of
the observed multiplets in the p-wave [Phys. Rev. A 85, 051602(R) (2012)]. We
apply the model to predict scattering and bound state threshold properties of
the boson-boson NaK and NaK systems. We find that the NaK
isotopic pair presents broad magnetic Feshbach resonances and favorable
ground-state features for producing non-reactive polar molecules by two-photon
association. Broad s-wave resonances are also predicted for NaK
collisions.Comment: 39 pages, 15 figures. Phys. Rev. A in pres
Gaussian processes and Bayesian moment estimation
Given a set of moment restrictions (MRs) that overidentify a parameter
, we investigate a semiparametric Bayesian approach for inference on
that does not restrict the data distribution apart from the MRs.
As main contribution, we construct a degenerate Gaussian process prior that,
conditionally on , restricts the generated by this prior to satisfy
the MRs with probability one. Our prior works even in the more involved case
where the number of MRs is larger than the dimension of . We
demonstrate that the corresponding posterior for is computationally
convenient. Moreover, we show that there exists a link between our procedure,
the Generalized Empirical Likelihood with quadratic criterion and the limited
information likelihood-based procedures. We provide a frequentist validation of
our procedure by showing consistency and asymptotic normality of the posterior
distribution of . The finite sample properties of our method are
illustrated through Monte Carlo experiments and we provide an application to
demand estimation in the airline market
Adaptive Bayesian estimation in indirect Gaussian sequence space models
In an indirect Gaussian sequence space model lower and upper bounds are
derived for the concentration rate of the posterior distribution of the
parameter of interest shrinking to the parameter value that
generates the data. While this establishes posterior consistency, however, the
concentration rate depends on both and a tuning parameter which
enters the prior distribution. We first provide an oracle optimal choice of the
tuning parameter, i.e., optimized for each separately. The
optimal choice of the prior distribution allows us to derive an oracle optimal
concentration rate of the associated posterior distribution. Moreover, for a
given class of parameters and a suitable choice of the tuning parameter, we
show that the resulting uniform concentration rate over the given class is
optimal in a minimax sense. Finally, we construct a hierarchical prior that is
adaptive. This means that, given a parameter or a class of
parameters, respectively, the posterior distribution contracts at the oracle
rate or at the minimax rate over the class. Notably, the hierarchical prior
does not depend neither on nor on the given class. Moreover,
convergence of the fully data-driven Bayes estimator at the oracle or at the
minimax rate is established
Market-Driven Management as Entrepreneurial Approach
Entrepreneurship is traditionally considered as an 'outward-looking' phenomenon. Entrepreneurs initiate change by identifying and starting new trading opportunities, related to improved versions of existing commodities or new product or service concepts, which have been until then unknown to other agents. Market-driven management is not posited to be an alternative to entrepreneurial management, a surrogate or even a better substitute to entrepreneurship. They are, rather, two different theoretical constructs that can be fully integrated. Value creation and appropriation within the market is the node of the relationship between entrepreneurship and market-driven management.Globalisation; Market-Driven Management; Entrepreneurial Management; Theories of the Firm; Market-Driven Intensity; Market-Space Competition; Competitive Customer Value; Value Creation
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