María Dolores Martínez Miranda

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 6

Top Topics

Point Processes

Top Venues

Comput. Stat. Data Anal.

J. Mach. Learn. Res.

Expert Syst. Appl.

Qual. Reliab. Eng. Int.

Publications

Maria Isabel Borrajo, Wenceslao González-Manteiga, María Dolores Martínez Miranda
Goodness-of-fit test for point processes first-order intensity. Comput. Stat. Data Anal. 194 (2024)
María Luz Gámiz, Enno Mammen, María Dolores Martínez Miranda, Jens Perch Nielsen
Missing link survival analysis with applications to available pandemic data. Comput. Stat. Data Anal. 169 (2022)
Maria Isabel Borrajo, Wenceslao González-Manteiga, María Dolores Martínez Miranda
Bootstrapping kernel intensity estimation for inhomogeneous point processes with spatial covariates. Comput. Stat. Data Anal. 144 (2020)
María Luz Gámiz, María Dolores Martínez Miranda, Jens Perch Nielsen
Multiplicative local linear hazard estimation and best one-sided cross-validation. J. Mach. Learn. Res. 20 (2019)
María Luz Gámiz Pérez, Antonio Jesús López-Montoya, María Dolores Martínez Miranda, Rocío Raya-Miranda
Data visualization for reliability analysis of repairable systems. Qual. Reliab. Eng. Int. 35 (1) (2019)
Munir Hiabu, Carolin Margraf, María Dolores Martínez Miranda, Jens Perch Nielsen
Cash flow generalisations of non-life insurance expert systems estimating outstanding liabilities. Expert Syst. Appl. 45 (2016)
María Dolores Martínez Miranda, Jens Perch Nielsen, Stefan Sperlich, Richard Verrall
Continuous Chain Ladder: Reformulating and generalizing a classical insurance problem. Expert Syst. Appl. 40 (14) (2013)
Wenceslao González-Manteiga, María José Lombardía, María Dolores Martínez Miranda, Stefan Sperlich
Kernel smoothers and bootstrapping for semiparametric mixed effects models. J. Multivar. Anal. 114 (2013)
María Luz Gámiz Pérez, Lena Janys, María Dolores Martínez Miranda, Jens Perch Nielsen
Bandwidth selection in marker dependent kernel hazard estimation. Comput. Stat. Data Anal. 68 (2013)
María Luz Gámiz Pérez, María Dolores Martínez Miranda, Jens Perch Nielsen
Smoothing survival densities in practice. Comput. Stat. Data Anal. 58 (2013)
Rocío Raya-Miranda, María Dolores Martínez Miranda
Data-driven local bandwidth selection for additive models with missing data. Appl. Math. Comput. 217 (24) (2011)
María Luz Gámiz, María Dolores Martínez Miranda
Regression analysis of the structure function for reliability evaluation of continuous-state system. Reliab. Eng. Syst. Saf. 95 (2) (2010)
Wenceslao González-Manteiga, María Dolores Martínez Miranda, Rocío Raya-Miranda
SiZer Map for inference with additive models. Stat. Comput. 18 (3) (2008)
María del Mar Rueda, María Dolores Martínez Miranda, Antonio Arcos
Bootstrap confidence intervals for finite population quantiles in the presence of auxiliary information. Model. Assist. Stat. Appl. 1 (4) (2006)
I. Sánchez-Borrego, María Dolores Martínez Miranda, A. González Carmona
Local linear kernel estimation of the discontinuous regression function. Comput. Stat. 21 (3-4) (2006)
María Dolores Martínez Miranda, María del Mar Rueda García, Antonio Arcos Cebrián, Y. Román-Montoya, S. González-Aguilera
Quantile estimation under successive sampling. Comput. Stat. 20 (3) (2005)
Antonio Arcos, María del Mar Rueda, María Dolores Martínez Miranda, Silvia González, Y. Román-Montoya
Incorporating the auxiliary information available in variance estimation. Appl. Math. Comput. 160 (2) (2005)
María del Mar Rueda, Antonio Arcos, S. González-Aguilera, María Dolores Martínez Miranda, Y. Román-Montoya, S. Martínez-Puertas
Ratio methods to the mean estimation with known quantiles. Appl. Math. Comput. 170 (2) (2005)
Wenceslao González-Manteiga, María Dolores Martínez Miranda, Ana Pérez González
The choice of smoothing parameter in nonparametric regression through Wild Bootstrap. Comput. Stat. Data Anal. 47 (3) (2004)
María del Mar Rueda, Antonio Arcos, María Dolores Martínez Miranda, Y. Román-Montoya
Some improved estimators of finite population quantile using auxiliary information in sample surveys. Comput. Stat. Data Anal. 45 (4) (2004)