Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Belén García-Mora"'
Publikováno v:
Modelling in Science Education and Learning, Vol 14, Iss 2, Pp 5-16 (2021)
En esta comunicación presentamos una entrevista realizada al Dr. Eduardo Sáenz de Cabezón, profesor, investigador y divulgador científico en el área de las Matemáticas. La entrevista se realizó con motivo de la celebración del día internacio
Externí odkaz:
https://doaj.org/article/6d96fcccff634104b2f26e50a2eabf0f
Publikováno v:
Mathematics, Vol 9, Iss 4, p 373 (2021)
Biological systems are commonly constituted by a high number of interacting agents. This great dimensionality hinders biological modelling due to the high computational cost. Therefore, new modelling methods are needed to reduce computation time whil
Externí odkaz:
https://doaj.org/article/5dfc43f5a5c74fd7979eab162bfa0321
Publikováno v:
Mathematics, Vol 8, Iss 12, p 2099 (2020)
Stochastic processes are useful and important for modeling the evolution of processes that take different states over time, a situation frequently found in fields such as medical research and engineering. In a previous paper and within this framework
Externí odkaz:
https://doaj.org/article/106950e0749545bab8b63a2301c63241
Publikováno v:
Modelling in Science Education and Learning, Vol 14, Iss 2, Pp 5-16 (2021)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[EN] In this communication we present an interview with Dr. Eduardo Sáenz de Cabezón, professor, researcher and scientific disseminator in the area of Mathematics. The interview was carried out to celebrate the international Pi day of the year 2021
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3616e1569253659e3c9b2dea67f4689e
https://hdl.handle.net/10251/170800
https://hdl.handle.net/10251/170800
Publikováno v:
Mathematics
Volume 9
Issue 4
Mathematics, Vol 9, Iss 373, p 373 (2021)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Volume 9
Issue 4
Mathematics, Vol 9, Iss 373, p 373 (2021)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
[EN] Biological systems are commonly constituted by a high number of interacting agents. This great dimensionality hinders biological modelling due to the high computational cost. Therefore, new modelling methods are needed to reduce computation time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f6eaff232b3b1f4bf53bad72c4d3ea1
https://hdl.handle.net/10251/180504
https://hdl.handle.net/10251/180504
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[EN] A methodology to model a process in which repeated events occur is presented. The context is the evolution of non-muscle-invasive bladder carcinoma (NMIBC), characterized by recurrent relapses. It is based on the statistical flowgraph approach,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e879963d374fa2bc495eb54e608c6e04
Autor:
Belén García Mora, Cristina Santamaría Navarro, Juan Francisco Vidal Moreno, Luz María Moratalla Charcos, Jorge Planelles Gómez
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
Objective:Overactive bladder is a disease with a high prevalence. The management is difficult, because different demographic, social or economic aspects converge. Our objective was to evaluate the efficacy and satisfaction in patients with overactive
Publikováno v:
Journal of Computational and Applied Mathematics. 381:113085
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe
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JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe
Statistical Flowgraph Models are an efficient tool to model multi-state stochastic processes. They support both frequentist and Bayesian approaches. Inclusion of covariates is also available. In this paper we propose an easy way to perform a Bayesian
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[EN] The most common assumptions in reliability studies are that failures occur independently and with the same distribution. However, these two assumptions are unrealistic in practice since inter-failure times are usually correlated and not identica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b2db1e61fe32148d38db9bb6953cbc9
https://hdl.handle.net/10251/121418
https://hdl.handle.net/10251/121418