GI-MODES - Congresos, conferencias, etc.: Envíos recentes
Mostrando ítems 1-5 de 19
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Unsupervised Classification of Categorical Time Series Through Innovative Distances
(Springer Science and Business Media Deutschland GmbH, 2023)[Abstract]: In this paper, two novel distances for nominal time series are introduced. Both of them are based on features describing the serial dependence patterns between each pair of categories. The first dissimilarity ... -
Captación de talento con criterios del hrs4r. El programa Intalent
(Asociación Española de Psicología Conductual, 2019) -
Unsupervised classification of categorical time series through innovative distances
(Avestia Publishing, 2022)[Abstract]: In this paper, two novel distances for nominal time series are introduced. Both of them are based on features describing the serial dependence patterns between each pair of categories. The first dissimilarity ... -
Nonparametric Inference in Mixture Cure Models
(MDPI, 2018-09)[Abstract]: A completely nonparametric method for the estimation of mixture cure models is proposed. Nonparametric estimators for the cure probability (incidence) and for the survival function of the uncured population ... -
The Bootstrap for Testing the Equality of Two Multivariate Stochastic Processes with an Application to Financial Markets
(MDPI, 2022)[Abstract] The problem of testing the equality of generating processes of two multivariate time series is addressed in this work. To this end, we construct two tests based on a distance measure between stochastic processes. ...