Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Paolo Chirico"'
Autor:
Andrea Bruni, Federico Longhini, Sebastiano Macheda, Eugenio Biamonte, Pino Pasqua, Giuseppe Neri, Maria Laura Guzzo, Eugenio Garofalo, Calabria COVID-ICU Network authors, Antonio Caroleo, Paolo Chirico, Angela Corea, Silvia Corrado, Pierfrancesco De Luca, Federica Fazio, Martina Fontanella, Annamaria Froio, Cesira Greco, Giusy Guzzi, Marco Pignataro, Sara Rizzo, Claudia Roccia, Giuseppe Saraco, Ugo Settimio, Marco Tescione, Eugenio Vadalà, Michele Ippolito, Cosimo Stefano, Pietro Maglio, Mario Pezzi, Simona Tiburzi
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
IntroductionAfter the rapid surge of a novel coronavirus (SARS-CoV-2) in 2020 anti-SARS-CoV-2 vaccines have been developed to prevent the development of critical forms of COVID-19 leading to Intensive Care Unit (ICU) admission. The possibility of ICU
Externí odkaz:
https://doaj.org/article/49deb27d8ae14eeaaa05aaeee5e800fa
Autor:
Paolo Chirico
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783319739052
The paper illustrates a procedure for prediction intervals by Holt-Winters method in case of heteroscedasticity. The procedure has been applied to daily electricity prices of the year 2014; the results are consistent with those obtained using equival
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1329ea6ef63fd1411bfdd67423e1848d
https://doi.org/10.1007/978-3-319-73906-9_16
https://doi.org/10.1007/978-3-319-73906-9_16
Autor:
Paolo Chirico
Publikováno v:
Topics in Theoretical and Applied Statistics ISBN: 9783319272726
The paper presents a study of seasonality in Italian daily electricity prices. In particular, it compares the ARIMA approach with the structural state space approach in the case of seasonal data. Unlike ARIMA modeling, the structural approach has ena
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e8a6474ca7714e724e693f2ab65ca33
http://hdl.handle.net/2318/1508546
http://hdl.handle.net/2318/1508546
Autor:
Anna Lo Presti, Paolo Chirico
Publikováno v:
Journal of Applied Sciences. 11:725-730
Autor:
Paolo Chirico
Publikováno v:
Classification and Data Mining ISBN: 9783642288937
Classification and Data Mining
Classification and Data Mining
The paper illustrates a clusterwise regression procedure applied to the prediction of per capita disposal income (PCDI) in Italian municipalities. The municipal prediction is derived from the provincial PCDI taking into account the discrepancy betwee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f81df6140a1e9e16b2378e9f9ce9111
https://doi.org/10.1007/978-3-642-28894-4_21
https://doi.org/10.1007/978-3-642-28894-4_21
Autor:
PAOLO CHIRICO, Shu Kay Ng
Publikováno v:
Studies in Classification, Data Analysis, and Knowledge Organization ISBN: 9783642037382
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79834216f405912a01fb25fd28f7fe6a
https://doi.org/10.1007/978-3-642-03739-9
https://doi.org/10.1007/978-3-642-03739-9
Autor:
PAOLO CHIRICO
Publikováno v:
PAOLO CHIRICO
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7d196b0b3f41bb38af28c6c64e25cb89
http://hdl.handle.net/2318/80313
http://hdl.handle.net/2318/80313
Autor:
Paolo Chirico
Publikováno v:
Data Analysis and Classification ISBN: 9783642037382
The first aim of this paper is to present a singular algorithm of ALSOS’s (Alternating Least Squares with Optimal Scaling). It allows to assign the same scaling to all variables measured on the same ordinal scale in a categorical regression. The al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8caad5aba201c0339a609ab48150a4ff
https://doi.org/10.1007/978-3-642-03739-9_16
https://doi.org/10.1007/978-3-642-03739-9_16
Autor:
PAOLO CHIRICO
Publikováno v:
PAOLO CHIRICO
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c0815af2329f9977feed077762292a8b
http://statisticaeapplicazioni.vitaepensiero.it/scheda-articolo_digital/paolo-chirico/structural-time-series-models-for-level-and-volatility-of-hourlyelectricity-prices-999999_2016_0002_0197-345378.html
http://statisticaeapplicazioni.vitaepensiero.it/scheda-articolo_digital/paolo-chirico/structural-time-series-models-for-level-and-volatility-of-hourlyelectricity-prices-999999_2016_0002_0197-345378.html