Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Giovanni C. Porzio"'
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-19
Contaminated training sets can highly affect the performance of classification rules. For this reason, robust supervised classifiers have been introduced. Amongst the many, this work focuses on dep...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37c061b88f071ed7188271941fc3d7ef
https://doi.org/10.1080/03610918.2021.1996603
https://doi.org/10.1080/03610918.2021.1996603
Publikováno v:
Applications of Mathematics. 65:331-342
The main goal of supervised learning is to construct a function from labeled training data which assigns arbitrary new data points to one of the labels. Classification tasks may be solved by using some measures of data point centrality with respect t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4da3bb04a01f2b525e35cd50242c7cb4
https://doi.org/10.21136/am.2020.0331-19
https://doi.org/10.21136/am.2020.0331-19
Autor:
Giovanni C. Porzio, Houyem Demni
Publikováno v:
MFI
A directional random variable is rotationally symmetric around a location parameter if its distribution only depends on the angle between the value the variable can take and the location parameter itself. This is clearly an oversimplified model. On t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bd1176704d27c444487b937bf92aee0
http://hdl.handle.net/11580/88207
http://hdl.handle.net/11580/88207
Publikováno v:
Canadian Journal of Statistics. 46:593-609
Directional data are constrained to lie on the unit sphere of~$\mathbb{R}^q$ for some~$q\geq 2$. To address the lack of a natural ordering for such data, depth functions have been defined on spheres. However, the depths available either lack flexibil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7137f22f4e5bb2eecd0fa345464638b
https://doi.org/10.1002/cjs.11479
https://doi.org/10.1002/cjs.11479
Publikováno v:
Biometrics. 74:1492-1501
The box-and-whiskers plot is an extraordinary graphical tool that provides a quick visual summary of an observed distribution. In spite of its many extensions, a really suitable boxplot to display circular data is not yet available. Thanks to its sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f18daaa13fd3d190332a042e9b9c274
https://doi.org/10.1111/biom.12889
https://doi.org/10.1111/biom.12889
The contributions gathered in this book focus on modern methods for statistical learning and modeling in data analysis and present a series of engaging real-world applications. The book covers numerous research topics, ranging from statistical infere
Autor:
PANDOLFO, GIUSEPPE, Giovanni C. Porzio
The DD-classifier, which has been extended to the classification of directional objects, is here investigated in the case of some new distance-based directional depths. The DD-classifier is a non-parametric techniques based on the depth vs. depth (DD
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3730::784381c939220b9dcdbb17b0cc163eff
http://hdl.handle.net/11588/726032
http://hdl.handle.net/11588/726032
Autor:
Giuseppe Pandolfo, Thomas Kirschstein, Steffen Liebscher, Giancarlo Ragozini, Giovanni C. Porzio
Robust location estimators for directional data are known for about 30 years. Scientific literature has focused on studying the asymptotic properties of these estimators like consistency and influence function. Apart from the finite-sample breakdown
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8489cc4f41eba807b8ef69c37468883
http://hdl.handle.net/11580/71416
http://hdl.handle.net/11580/71416
Publikováno v:
Studies in Classification, Data Analysis, and Knowledge Organization ISBN: 9783030251468
Directions, rotations, axes, clock, or calendar measurements can be represented as angles or equivalently as unit vectors. As points lying on the boundary of circles, spheres, or hyper-spheres, they are also referred as directional data, and they req
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9eedabbccf8f64c6f656243a16b3278
https://doi.org/10.1007/978-3-030-25147-5_4
https://doi.org/10.1007/978-3-030-25147-5_4