Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Greselin, Francesca"'
"The rich are getting richer" implies that the population income distributions are getting more right skewed and heavily tailed. For such distributions, the mean is not the best measure of the center, but the classical indices of income inequality, i
Externí odkaz:
http://arxiv.org/abs/2308.03708
Financial institutions manage operational risk (OpRisk) by carrying out activities required by regulation, such as collecting loss data, calculating capital requirements, and reporting. For this purpose, for each OpRisk event, loss amounts, dates, or
Externí odkaz:
http://arxiv.org/abs/2212.01285
Classification of high-dimensional spectroscopic data is a common task in analytical chemistry. Well-established procedures like support vector machines (SVMs) and partial least squares discriminant analysis (PLS-DA) are the most common methods for t
Externí odkaz:
http://arxiv.org/abs/2010.10415
The problem of identifying the most discriminating features when performing supervised learning has been extensively investigated. In particular, several methods for variable selection in model-based classification have been proposed. Surprisingly, t
Externí odkaz:
http://arxiv.org/abs/2007.14810
We introduce the social welfare implications of the Zenga index, a recently proposed index of inequality. Our proposal is derived by following the seminal book by Son (2011) and the recent working paper by Kakwani and Son (2019). We compare the Zenga
Externí odkaz:
http://arxiv.org/abs/2006.12623
Novelty detection methods aim at partitioning the test units into already observed and previously unseen patterns. However, two significant issues arise: there may be considerable interest in identifying specific structures within the novelty, and co
Externí odkaz:
http://arxiv.org/abs/2006.09012
Three important issues are often encountered in Supervised and Semi-Supervised Classification: class-memberships are unreliable for some training units (label noise), a proportion of observations might depart from the main structure of the data (outl
Externí odkaz:
http://arxiv.org/abs/1911.08381
In a standard classification framework a set of trustworthy learning data are employed to build a decision rule, with the final aim of classifying unlabelled units belonging to the test set. Therefore, unreliable labelled observations, namely outlier
Externí odkaz:
http://arxiv.org/abs/1904.06136
Autor:
Davydov, Youri, Greselin, Francesca
In this paper we derive inferential results for a new index of inequality, specifically defined for capturing significant changes observed both in the left and in the right tail of the income distributions. The latter shifts are an apparent fact for
Externí odkaz:
http://arxiv.org/abs/1706.05576