Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Caamaño Carrillo, Christian"'
The Gaussian copula is a powerful tool that has been widely used to model spatial and/or temporal correlated data with arbitrary marginal distributions. However, this kind of model can potentially be too restrictive since it expresses a reflection sy
Externí odkaz:
http://arxiv.org/abs/2305.18166
Autor:
Caamaño-Carrillo, Christian1 (AUTHOR) chcaaman@ubiobio.cl, Bevilacqua, Moreno2,3 (AUTHOR) moreno.bevilacqua@uai.cl, Zamudio-Monserratt, Michael4 (AUTHOR) michael.zamudio@postgrado.uv.cl, Contreras-Reyes, Javier E.5 (AUTHOR) jecontrr@uc.cl
Publikováno v:
Axioms (2075-1680). Oct2024, Vol. 13 Issue 10, p701. 17p.
Publikováno v:
In Journal of Multivariate Analysis May 2024 201
Random fields are useful mathematical tools for representing natural phenomena with complex dependence structures in space and/or time. In particular, the Gaussian random field is commonly used due to its attractive properties and mathematical tracta
Externí odkaz:
http://arxiv.org/abs/2105.03734
In this paper, we develop two fully parametric quantile regression models, based on power Johnson SB distribution Cancho et al. (2020), for modeling unit interval response at different quantiles. In particular, the conditional distribution is modelle
Externí odkaz:
http://arxiv.org/abs/2103.07039
Publikováno v:
In Computational Statistics and Data Analysis March 2024 191
We propose a new approach to solve the classical Monty Hall problem in its general form. The solution is based on basic tools of probability theory, by defining three elementary events which decompose the sample space into a partition. The probabilit
Externí odkaz:
http://arxiv.org/abs/2004.05539
Publikováno v:
In Spatial Statistics August 2022 50
Publikováno v:
In Journal of Multivariate Analysis May 2022 189
Autor:
Caamaño-Carrillo, Christian1 (AUTHOR) chcaaman@ubiobio.cl, Contreras-Espinoza, Sergio1 (AUTHOR), Nicolis, Orietta2 (AUTHOR) orietta.nicolis@unab.cl
Publikováno v:
Mathematics (2227-7390). Apr2023, Vol. 11 Issue 8, p1827. 14p.