Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Marina Resta"'
Autor:
Paolo Landa, Said Abasse Kassim, Jean-Baptiste Gartner, Frédéric Bergeron, André Côté, Jean-Denis Lalonde, Elena Tanfani, Marina Resta
Publikováno v:
BMJ Open, Vol 13, Iss 7 (2023)
Introduction During the last decade the Quebec Public Health Care System (QPHCS) had an important transformation in primary care planning activity. The increase of the service demand together with a significant reduction of supply in primary care may
Externí odkaz:
https://doaj.org/article/1ee976a19c654c62b144272045ab3632
Autor:
Oleksandr Castello, Marina Resta
Publikováno v:
Energies, Vol 16, Iss 12, p 4746 (2023)
This work studies the term structure dynamics in the natural gas futures market, focusing on the Dutch Title Transfer Facility (TTF) daily futures prices. At first, using the whole dataset, we compared the in-sample fitting performance of three model
Externí odkaz:
https://doaj.org/article/7e0a50e228c94344b37d2035d263a902
Autor:
Oleksandr Castello, Marina Resta
Publikováno v:
Risks, Vol 10, Iss 2, p 36 (2022)
We compare parametric and machine learning techniques (namely: Neural Networks) for in–sample modeling of the yield curve of the BRICS countries (Brazil, Russia, India, China, South Africa). To such aim, we applied the Dynamic De Rezende–Ferreira
Externí odkaz:
https://doaj.org/article/ca687c0f00854b61b9ff01f9c2989f27
Publikováno v:
Risks, Vol 8, Iss 2, p 44 (2020)
In this paper we aimed to examine the profitability of technical trading rules in the Bitcoin market by using trend-following and mean-reverting strategies. We applied our strategies on the Bitcoin price series sampled both at 5-min intervals and on
Externí odkaz:
https://doaj.org/article/51093366e1f2438ea0dd2559e564459a
Autor:
Marina Resta
Publikováno v:
Cinergie, Vol 3, Iss 6, Pp 80-84 (2014)
Externí odkaz:
https://doaj.org/article/cb2b1f31bc1d43389f8677063673c042
Publikováno v:
Risks, Vol 7, Iss 1, p 8 (2019)
We use Object Oriented Bayesian Networks (OOBNs) to analyze complex ties in the equity market and to detect drivers for the Standard & Poor’s 500 (S&P 500) index. To such aim, we consider a vast number of indicators drawn from various investment ar
Externí odkaz:
https://doaj.org/article/f94dc4e343ab48a7b365eb201ab0a79c
Autor:
Gabriella Piscopo, Marina Resta
Publikováno v:
Risks, Vol 5, Iss 2, p 24 (2017)
We apply spectral biclustering to mortality datasets in order to capture three relevant aspects: the period, the age and the cohort effects, as their knowledge is a key factor in understanding actuarial liabilities of private life insurance companies
Externí odkaz:
https://doaj.org/article/e754a57c645041e78284ddfc08717f58
Autor:
Oleksandr Castello, Marina Resta
Publikováno v:
Mathematical and Statistical Methods for Actuarial Sciences and Finance ISBN: 9783030996376
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f8d1ea6e9850a19662d1354ba240da3
https://doi.org/10.1007/978-3-030-99638-3_24
https://doi.org/10.1007/978-3-030-99638-3_24
This paper analyzes the features of the boards of large listed European banks and their degree of “collective suitability” as formalized by the Capital Requirements Directives (CRD4) and evaluates whether closer proximity to the collective suitab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87eebb0ce75a78f1ac1da0b532da8df5
http://hdl.handle.net/11567/1065380
http://hdl.handle.net/11567/1065380
Autor:
Marina Resta
Publikováno v:
Handbook of Artificial Intelligence in Healthcare ISBN: 9783030836191
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70e65aca14026180d34dc8808487a395
https://doi.org/10.1007/978-3-030-83620-7_8
https://doi.org/10.1007/978-3-030-83620-7_8