Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Antonio Irpino"'
Publikováno v:
Journal of Classification. 39:343-375
This paper deals with a batch self organizing map algorithm for data described by distributional-valued variables (DBSOM). Such variables are characterized to take as values probability or frequency distributions on numeric support. According to the
Nowadays, modern sensor devices can generate a wide range of data types, including functional data, which can be challenging to analyse due to their complex dependencies. In order to effectively analyse these types of data, it is important to conside
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3977::ce7518fe1c0eb4369eb0b2bd6c0c7021
https://hdl.handle.net/11591/498568
https://hdl.handle.net/11591/498568
Publikováno v:
Geostatistical Functional Data Analysis. :128-153
Autor:
Rosanna Verde, Antonio Irpino
Publikováno v:
Analysis of Distributional Data ISBN: 9781315370545
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dcb1fef3fc3290af095ca31430154a4
https://doi.org/10.1201/9781315370545-5
https://doi.org/10.1201/9781315370545-5
Autor:
Antonio Irpino, Rosanna Verde
Publikováno v:
Analysis of Distributional Data ISBN: 9781315370545
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::194fa0549a16bcc8c11e8c5d952f3b45
https://doi.org/10.1201/9781315370545-3
https://doi.org/10.1201/9781315370545-3
Autor:
Antonio Irpino, Rosanna Verde
Publikováno v:
Analysis of Distributional Data ISBN: 9781315370545
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9d08aff754897c09200d728c77b3296
https://doi.org/10.1201/9781315370545-14
https://doi.org/10.1201/9781315370545-14
In this work we propose and show a general framework of distribution-free predictive inference for Spatio-Functional Regression models using Conformal Prediction techniques. In particular we focus on Geographically Weighted Regression (GWR) and Heter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3977::b7f7ea9dfb2a9dd25f851ae0ce49dd23
https://hdl.handle.net/11591/488524
https://hdl.handle.net/11591/488524
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783031166082
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98016f91b0c1cffb8ebb95c11e1f14c8
https://doi.org/10.1007/978-3-031-16609-9_30
https://doi.org/10.1007/978-3-031-16609-9_30
Autor:
Antonio Irpino, Antonio Balzanella
Publikováno v:
Statistical Methods & Applications. 29:101-128
This paper deals with the analysis of data streams recorded by georeferenced sensors. We focus on the problem of measuring the spatial dependence among the observations recorded over time and with the prediction of the data distribution, where no sen
This paper is concerned with the co-clustering of distribution-valued data, that is, the simultaneous partitioning of rows and columns of an input data table, the elements of which are distributions (or histograms) representing aggregate data. The fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8c401c9ab9bdc16b6a39dacb37a6791
https://hdl.handle.net/11591/439304
https://hdl.handle.net/11591/439304