Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Manuel Rizzo"'
Publikováno v:
European Journal of Medical Research, Vol 28, Iss 1, Pp 1-13 (2023)
Abstract Background Regorafenib was previously shown to reduce tumor-associated macrophages and potently inhibit colony-stimulating factor 1 receptor (CSF1R), also known as CD115, in biochemical assays. The CSF1R signaling pathway is essential in the
Externí odkaz:
https://doaj.org/article/93fe5b77d1f04ab5b5e6f2ba7319b804
Publikováno v:
European Journal of Medical Research, Vol 28, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/ebce3b6c95f7439aacd972e65aa92987
The detection of outliers in a time series is an important issue because their presence may have serious negative effects on the analysis in many different ways. Moreover the presence of a complex seasonal pattern in the series could affect the prope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39b3481f8f7a4a1a0ee52133cd06838e
https://hdl.handle.net/11590/372791
https://hdl.handle.net/11590/372791
Publikováno v:
Neural Information Processing ISBN: 9783030638351
ICONIP (3)
ICONIP (3)
Time series are sequences of data indexed by time. Such data are collected in various domains, often in massive amounts, such that storing them proves challenging. Thus, time series are commonly stored in a compressed format. An important compression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::958361afa3ebc5cd0333c8319fc37130
https://doi.org/10.1007/978-3-030-63836-8_49
https://doi.org/10.1007/978-3-030-63836-8_49
This paper proposes an extension of Periodic AutoRegressive (PAR) modelling for time series with evolving features. The large scale of modern datasets, in fact, implies that the time span may subtend several evolving patterns of the underlying series
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40dd867af35a1adcd939d2c795f1a425
https://hdl.handle.net/11590/354894
https://hdl.handle.net/11590/354894
Autor:
Manuel Rizzo, Francesco Battaglia
Publikováno v:
Journal of Statistical Computation and Simulation. 88:3081-3097
When a Genetic Algorithm (GA), or a stochastic algorithm in general, is employed in a statistical problem, the obtained result is affected by both variability due to sampling, that refers to the fact that only a sample is observed, and variability du
Publikováno v:
Stochastic Environmental Research and Risk Assessment
Stochastic Environmental Research and Risk Assessment, Springer Verlag (Germany), In press, 33 (4-6), pp.1137-1157. ⟨10.1007/s00477-019-01692-0⟩
Stochastic Environmental Research and Risk Assessment, Springer Verlag (Germany), In press, 33 (4-6), pp.1137-1157. ⟨10.1007/s00477-019-01692-0⟩
In river flow analysis and forecasting there are some key elements to consider in order to obtain reliable results. For example, seasonality is often accounted for in statistical models because climatic oscillations occurring every year have an obvio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ce09f22a45b0dab42b5d739a4a4e69c
https://hal.archives-ouvertes.fr/hal-02878506
https://hal.archives-ouvertes.fr/hal-02878506
Publikováno v:
Mathematical and Statistical Methods for Actuarial Sciences and Finance ISBN: 9783319898230
We present a model and a computational procedure for dealing with seasonality and regime changes in time series. In this work we are interested in time series which in addition to trend display seasonality in mean, in autocorrelation and in variance.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7d284532500249bc6824f23d8b869f9
http://hdl.handle.net/11386/4717110
http://hdl.handle.net/11386/4717110
Autor:
Manuel Rizzo, Francesco Battaglia
Publikováno v:
Computational Economics. 48:473-485
The GARCH models have been found difficult to build by classical methods, and several other approaches have been proposed in literature, including metaheuristic and evolutionary ones. In the present paper we employ genetic algorithms to estimate the