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Conditional likelihood inference in a heteroscedastic functional measurement error model
(Elsevier, 2023)
In this paper, we deal with inference about the structural parameters in a heteroscedastic functional measurement error models under the normal distribution assumption. Given a minimal sufficient statistic for the incidental ...
Muertes maternas en México durante COVID-19
(El Autor, 2021)
Hacia el número óptimo de internos en penales
(El Autor, 2022)
A statistical physics approach to perform fast highly-resolved air quality simulations – A new step towards the meta-modelling of chemistry transport models
(Elsevier, 2019)
A methodology rested on model-based machine learning using simple linear regressions and the parameterizations of the main physics and chemistry processes has been developed to perform highly-resolved air quality simulations. ...
Generalized entropies in quantum and classical statistical theories
(EDP Sciences, 2018-09)
We study a version of the generalized (h, φ)-entropies, introduced by Salicrú et al. [M. Salicrú et al., Commun. Stat. Theory Method. 22, 2015 (1993)], for a wide family of probabilistic models that includes quantum and ...