1,721,100 research outputs found
Social Networks Design of Hospital Facilitators (HFs): An Empirical Study of the Case of Italy
No full textIn this paper, the author provides a representation of Ital
ian public hospital facilitators
(HFs) (clinics, regional or
local community hospitals, and medical ce
nters) by means of different types of networks. Moving from the balance
scorecards of HFs, the author has analyzed the representation of those data through the use of the minimum
spanning tree (MST) and the planar maximally-filtered gr
aph (PMFG). This paper firstly examined the amount of
information provided by the two networks and then run
a sensitivity analysis of the networks by varying the
elements of the balance scorec
ards to be considered. In th
is way, the author obtained a quite unusual representation
of the overall economic situation of It
alian HFs. Moreover, the author observe
d the emergence of patterns which in
the author’s opinion might help policy
makers to realize a more efficient
allocation of financial resources among
the existing HFs
A Computational Approach On Neighbourhood Structures In The Simulation Of Dichotomous Development
No full textUna caratterizzazione di tipo tau(q) per i processi auto-affini nella modellazione in ambito attuariale e finanziario
No full text
TRN: picking up the challenge of non lin earity testing by means of Topology Representing Networks,
No full textIn this work, I will describe a new approach for time series non linearity testing by means of neural networks, and I'll extend it to financial data. The novelty of this approach stands primarily in the kind of artificial agents chosen for simulations: Topology Representing Networks (TRN), that is competitive learning algorithms. In this context, a TRN ensemble will be used to analyse signals generated by different processes: periodic and deterministic, uniformly distributed and multi-scaling L-stable processes. The performances obtained by means of this technique will be compared to more conventional tools in time series analysis, with particular attention to recurrence quantification analysis. Furthermore, real world data will be observed and the results obtained by TRN will be closely linked with economical interpretations
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