Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Gabriele Soffritti"'
Autor:
Gabriele Perrone, Gabriele Soffritti
Publikováno v:
Statistical Papers. 64:883-921
Clusterwise regression is an approach to regression analysis based on finite mixtures which is generally employed when sample observations come from a population composed of several unknown sub-populations. Whenever the response is continuous, Gaussi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::294bf981dcc88284b0af1a90cafda2d7
https://doi.org/10.1007/s00362-022-01344-6
https://doi.org/10.1007/s00362-022-01344-6
Autor:
Gabriele Soffritti
Publikováno v:
Journal of Classification. 38:594-625
In recent years, the research into cluster-weighted models has been intense. However, estimating the covariance matrix of the maximum likelihood estimator under a cluster-weighted model is still an open issue. Here, an approach is developed in which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ffa371d4c365f15260e56b5c14b4c7d
https://doi.org/10.1007/s00357-021-09390-9
https://doi.org/10.1007/s00357-021-09390-9
Publikováno v:
Statistica, Vol 67, Iss 2, Pp 173-190 (2013)
The paper addresses the problem of robustness of regression trees with respect to outlying values in the dependent variable. New robust tree-based procedures are described, which are obtained by introducing in the tree building phase some objective f
Externí odkaz:
https://doaj.org/article/6d0ed6431c7b4f4694020ffa08fdd5eb
Publikováno v:
Statistical Methods & Applications. 30:235-268
The expectation-maximisation algorithm is employed to perform maximum likelihood estimation in a wide range of situations, including regression analysis based on clusterwise regression models. A disadvantage of using this algorithm is that it is unab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5670ff0c3d8ffce23d27d6a6dbe1103d
https://doi.org/10.1007/s10260-020-00523-9
https://doi.org/10.1007/s10260-020-00523-9
Publikováno v:
Statistica, Vol 64, Iss 1, Pp 99-125 (2007)
This paper belongs to the studies regarding the determinants of the new family behaviours. Particularly, we have turned our attention to the analysis of the factors that induce men and women to choose marriage or cohabitation in Italy and Spain. Thes
Externí odkaz:
https://doaj.org/article/c8412aade97748b0bb81954850bf2311
Publikováno v:
Statistical Methods & Applications. 28:323-358
This paper addresses two crucial issues in multiple linear regression analysis: (i) error terms whose distribution is non-normal because of the presence of asymmetry of the response variable and/or data coming from heterogeneous populations; (ii) sel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac31e45258924f0754ea0534a2041603
https://doi.org/10.1007/s10260-018-00441-x
https://doi.org/10.1007/s10260-018-00441-x
Publikováno v:
Computational Statistics & Data Analysis. 171:107451
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2add79fae9b07da4f57c4e8800ab724c
https://doi.org/10.1016/j.csda.2022.107451
https://doi.org/10.1016/j.csda.2022.107451
Linear regression models based on finite Gaussian mixtures represent a flexible tool for the analysis of linear dependencies in multivariate data. They are suitable for dealing with correlated response variables when data come from a heterogeneous po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::975415e77a16827d30f5f324c7d9c56d
http://hdl.handle.net/11585/732534
http://hdl.handle.net/11585/732534
Publikováno v:
Journal of Statistical Software, Vol 47, Iss 10 (2012)
This paper introduces rpartScore (Galimberti, Soffritti, and Di Maso 2012), a new R package for building classification trees for ordinal responses, that can be employed whenever a set of scores is assigned to the ordered categories of the response.
Externí odkaz:
https://doaj.org/article/29cddcecf1424df88e9504ee0b8f35bd
Publikováno v:
Statistics and Computing. 28:145-169
In the framework of cluster analysis based on Gaussian mixture models, it is usually assumed that all the variables provide information about the clustering of the sample units. Several variable selection procedures are available in order to detect t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af56889b51e8220e5924b716a1c0f5b5
https://doi.org/10.1007/s11222-017-9723-0
https://doi.org/10.1007/s11222-017-9723-0