Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Luciana, Dalla Valle"'
Autor:
Lauren Ansell, Luciana Dalla Valle
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract The Covid-19 pandemic presents a serious threat to people’s health, resulting in over 250 million confirmed cases and over 5 million deaths globally. To reduce the burden on national health care systems and to mitigate the effects of the o
Externí odkaz:
https://doaj.org/article/5fa625f1242248f0a6554d9752748f8d
Publikováno v:
Research in Learning Technology, Vol 26, Iss 0, Pp 1-21 (2018)
This paper contributes to the development of learning and academic analytics in Higher Education (HE) by researching how four graphical visualisation methods can be used to present student assessment and feedback data to five stakeholder groups, incl
Externí odkaz:
https://doaj.org/article/cb7b347208304e84896e95e6919f3fef
Autor:
Julian Stander, Luciana Dalla Valle
Publikováno v:
Journal of Statistics Education, Vol 25, Iss 2, Pp 60-67 (2017)
We discuss the learning goals, content, and delivery of a University of Plymouth intensive module delivered over four weeks entitled MATH1608PP Understanding Big Data from Social Networks, aimed at introducing students to a broad range of techniques
Externí odkaz:
https://doaj.org/article/6823f743765c460689ab9368406a1838
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 71:613-638
Air pollution is a serious issue that currently affects many industrial cities in the world and can cause severe illness to the population. In particular, it has been proven that extreme high levels of airborne contaminants have dangerous short-term
Publikováno v:
Journal of Risk and Financial Management; Volume 15; Issue 10; Pages: 482
Portfolio optimisation aims to efficiently find optimal proportions of portfolio assets, given certain constraints, and has been well-studied. While portfolio optimisation ascertains asset combinations most suited to investor requirements, numerous r
Publikováno v:
Journal of Statistical Computation and Simulation. 91:2899-2916
In this paper, we introduce a novel Bayesian data augmentation approach for estimating the parameters of the generalized logistic regression model. We propose a Polya–Gamma sampler algorithm that a...
Autor:
Luciana Dalla Valle
Publikováno v:
Journal of Environmental Informatics.
Publikováno v:
Journal of Business Economics and Management, Vol 16, Iss 2 (2014)
Relying on the accounting data of a panel of 403 Italian manufacturing SMEs collected over a period of 5 years, we find results suggesting that multinationality per se does not impact on the economic performance of international small and medium size
Externí odkaz:
https://doaj.org/article/0ffe977d54cf491c89587dc12df5a795
Autor:
Ron S. Kenett, Luciana Dalla Valle
Publikováno v:
Expert Systems with Applications. 111:76-90
In recent years, the growing availability of huge amounts of information, generated in every sector at high speed and in a wide variety of forms and formats, is unprecedented. The ability to harness big data is an opportunity to obtain more accurate