Castellanos Nueda, María Eugenia maria.castellanos@urjc.es
Publications
- Articles 39
- Books 0
- Book chapters 2
- Conferences 1
- Working papers 0
- Technical reports 0
- Research projects 0
- Supervised theses 0
- Patent or software license 0
A BAYESIAN APPROACH FOR ESTIMATING EXTREME QUANTILES UNDER A SEMIPARAMETRIC MIXTURE MODEL
- Cabras, Stefano
- Eugenia Castellanos, Maria;
Astin Bulletin (p. 87-106) - 1/5/2011
10.2143/ast.41.1.2084387 View at source
- ISSN 17831350
A Model Selection Approach for Variable Selection with Censored Data
- Castellanos, Maria Eugenia
- Garcia-Donato, Gonzalo
- Cabras, Stefano;
Bayesian Analysis (p. 271-300) - 1/3/2021
https://doi.org/10.1214/20-ba1207 View at source
- EISSN 1931-6690
- ISSN 19316690
A Quasi likelihood approximation of posterior distributions for likelihood-intractable complex models
- Cabras, Stefano
- Eugenia Castellanos, Maria
- Ruli, Erlis;
Metron (Metron) (p. 153-167) - 1/8/2014
https://doi.org/10.1007/s40300-014-0040-5 View at source
- EISSN 2281-695X
- ISSN 00261424
A default Bayesian approach for regression on extremes
- Cabras, Stefano
- Eugenia Castellanos, Maria
- Gamerman, Dani;
Statistical Modelling (p. 557-580) - 1/12/2011
10.1177/1471082x1001100606 View at source
- ISSN 1471082X
A default Bayesian procedure for the generalized Pareto distribution
- Castellanos, M. Eugenia
- Cabras, Stefano;
Journal Of Statistical Planning And Inference (p. 473-483) - 1/2/2007
10.1016/j.jspi.2006.01.006 View at source
- ISSN 03783758
A matching prior for the shape parameter of the skew-normal distribution
- Cabras, Stefano
- Racugno, Walter
- Eugenia Castellanos, Maria
- Ventura, Laura;
SCANDINAVIAN JOURNAL OF STATISTICS (p. 236-247) - 1/6/2012
https://doi.org/10.1111/j.1467-9469.2011.0775.x View at source
- EISSN 1467-9469
- ISSN 03036898
A new minimal training sample scheme for intrinsic Bayes factors in censored data
- Cabras, Stefano
- Eugenia Castellanos, Maria
- Perra, Silvia;
COMPUTATIONAL STATISTICS & DATA ANALYSIS (p. 52-63) - 1/1/2015
https://doi.org/10.1016/j.csda.2014.07.012 View at source
- EISSN 1872-7352
- ISSN 0167-9473
A random forest application to contact-state classification for robot programming by human demonstration
- Cabras, S.
- Castellanos, M. E.
- Staffetti, E.;
APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY (p. 209-227) - 1/3/2016
https://doi.org/10.1002/asmb.2145 View at source
- EISSN 1526-4025
- ISSN 1524-1904
A strategy analysis for genetic association studies with known inbreeding
- Cabras, Stefano
- Eugenia Castellanos, Maria
- Biino, Ginevra
- Persico, Ivana
- Sassu, Alessandro
- Casula, Laura
- del Giacco, Stefano
- Bertolino, Francesco
- Pirastu, Mario
- Pirastu, Nicola;
Bmc Genetics - 18/7/2011
10.1186/1471-2156-12-63 View at source
- ISSN 14712156
An imprecise probability approach for the detection of over and underused taxonomic groups with the Campania (Italy) and the Sierra Popoluca (Mexico) medicinal flora
- Weckerle, Caroline S.
- Cabras, Stefano
- Eugenia Castellanos, Maria
- Leonti, Marco;
JOURNAL OF ETHNOPHARMACOLOGY (p. 259-264) - 9/6/2012
https://doi.org/10.1016/j.jep.2012.05.002 View at source
- ISSN 0378-8741
This researcher has no books.
Contrastes de normalidad basados en entropías
- María Eugenia Castellanos Nueda
- María Dolores Esteban Lefler
- Domingo Morales González
Xxv Congreso Nacional De Estadística E Investigación Operativa: Vigo, 4-7 De Abril De 2000 (p. 433-434) - 1/1/2000
- iMarina
Nuevas técnicas Bayesianas para bondad de ajuste
- María Jesús Bayarri García
- María Eugenia Castellanos Nueda
Xxv Congreso Nacional De Estadística E Investigación Operativa: Vigo, 4-7 De Abril De 2000 (p. 227-228) - 1/1/2000
- iMarina
Bayesian design in queues: An application to aeronautic maintenance
- Morales, Javier
- Eugenia Castellanos, M.
- Mayoral, Asuncion M.
- Fried, Roland
- Armero, Carmen;
Journal Of Statistical Planning And Inference (p. 3058-3067) - 1/10/2007
10.1016/j.jspi.2006.06.046 View at source
- ISSN 03783758
This researcher has no working papers.
This researcher has no technical reports.
This researcher has no research projects.
This researcher has no supervised thesis.
This researcher has no patents or software licenses.
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