Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Jacinto, Martín"'
Publikováno v:
Entropy, Vol 24, Iss 2, p 178 (2022)
In the parameter estimation of limit extreme value distributions, most employed methods only use some of the available data. Using the peaks-over-threshold method for Generalized Pareto Distribution (GPD), only the observations above a certain thresh
Externí odkaz:
https://doaj.org/article/5f92852d6f9b42d1856a65ca60dc0285
Publikováno v:
Entropy, Vol 22, Iss 11, p 1267 (2020)
Usual estimation methods for the parameters of extreme value distributions only employ a small part of the observation values. When block maxima values are considered, many data are discarded, and therefore a lot of information is wasted. We develop
Externí odkaz:
https://doaj.org/article/a40076f51fcb4a82bd6f0a2a08d49864
Publikováno v:
Entropy, Vol 17, Iss 6, Pp 3656-3678 (2015)
In the paper, we address Bayesian sensitivity issues when integrating experts’ judgments with available historical data in a case study about strategies for the preventive maintenance of low-pressure cast iron pipelines in an urban gas distribution
Externí odkaz:
https://doaj.org/article/aeca79aee2cf4af3822702dcfe263b5e
Publikováno v:
Ingeniare: Revista Chilena de Ingeniería, Vol 18, Iss 2, Pp 259-274 (2010)
This paper presents the main features of a library of modules for representation of protective devices of distribution networks with distributed generation (DG). The impact of distributed generation in a distribution network depends, among other aspe
Externí odkaz:
https://doaj.org/article/606e3f74d7c644749b934d684ab69fa2
Publikováno v:
Entropy; Volume 24; Issue 2; Pages: 178
In the parameter estimation of limit extreme value distributions, most employed methods only use some of the available data. Using the peaks-over-threshold method for Generalized Pareto Distribution (GPD), only the observations above a certain thresh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44d03aa143c8daca39259f4e9b76cfce
Publikováno v:
Journal of Applied Statistics. 46:2198-2215
Motivated by a longitudinal oral health study, the Signal-Tandmobiel® study, a Bayesian approach has been developed to model misclassified ordinal response data. Two regression models have ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ecbb03c47ed907d1b02ffd5dd4b185d
https://doi.org/10.1080/02664763.2019.1582613
https://doi.org/10.1080/02664763.2019.1582613
Autor:
Jacinto, Martín
Publikováno v:
Journal of World-Systems Research; 2023 Special Issue, Vol. 29, p401-430, 30p
Publikováno v:
Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas. 113:1585-1599
In this paper, we propose flexible Bayesian approaches for binary regression models in the presence of misclassified data. These approaches consider asymmetric links based on the skew-normal and the asymmetric exponential power distributions. The com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4766689670fb381fc314b912a5594a7b
https://doi.org/10.1007/s13398-018-0571-3
https://doi.org/10.1007/s13398-018-0571-3
Publikováno v:
Hydrological Sciences Journal. 63:878-894
A statistical study was made of the temporal trend in extreme rainfall in the region of Extremadura (Spain) during the period 1961–2009. A hierarchical spatio-temporal Bayesian model with a GEV par...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::661b9068834d41f3430c23eff098a595
https://doi.org/10.1080/02626667.2018.1457219
https://doi.org/10.1080/02626667.2018.1457219
Publikováno v:
Reliability Engineering & System Safety. 147:132-141
Bayesian decision theory plays a significant role in a large number of applications that have as main aim decision making. At the same time, negotiation is a process of making joint decisions that has one of its main foundations in decision theory. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64bdab5ba3a3dd341fbf8871e2c2f3b8
https://doi.org/10.1016/j.ress.2015.11.002
https://doi.org/10.1016/j.ress.2015.11.002