Zobrazeno 1 - 10
of 184
pro vyhledávání: '"A Saavedra-Nieves"'
This paper deals with a new measure of the influence of each feature on the response variable in classification problems, accounting for potential dependencies among certain feature subsets. Within this framework, we consider a sample of individuals
Externí odkaz:
http://arxiv.org/abs/2408.02481
Density-based clustering methodology has been widely considered in the statistical literature for classifying Euclidean observations. However, this approach has not been contemplated for directional data yet. In this work, directional density-based c
Externí odkaz:
http://arxiv.org/abs/2302.09897
Publikováno v:
In Expert Systems With Applications 1 July 2024 245
Publikováno v:
In Expert Systems With Applications 5 December 2024 256
This paper introduces the Banzhaf and Banzhaf-Owen values as novel centrality measures for ranking terrorists in a network. This new approach let integrate the complete topology (i.e. nodes and edges) of the network and a coalitional structure on the
Externí odkaz:
http://arxiv.org/abs/2202.07730
Publikováno v:
In Expert Systems With Applications 1 October 2024 251
On systems of quotas based on bankruptcy with a priori unions: estimating random arrival-style rules
This paper addresses a sampling procedure for estimating extensions of the random arrival rule to those bankruptcy situations where there exist a priori unions. It is based on simple random sampling with replacement and it adapts an estimation method
Externí odkaz:
http://arxiv.org/abs/2011.07913
Autor:
Saavedra-Nieves, Paula
Highest density regions refer to level sets containing points of relatively high density. Their estimation from a random sample, generated from the underlying density, allows to determine the clusters of the corresponding distribution. This task can
Externí odkaz:
http://arxiv.org/abs/2010.14340
Reconstruction of sets from a random sample of points intimately related to them is the goal of set estimation theory. Within this context, a particular problem is the one related with the reconstruction of density level sets and specifically, those
Externí odkaz:
http://arxiv.org/abs/2009.08915
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