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MARTíNEZ MIRANDA, MARíA DOLORES
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Universidade: Universidad de Granada
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Páxina persoal: http://www.ugr.es/~mmiranda/
PUBLICACIÓNS

Atopáronse 42 rexistros.

1) Borrajo, M.I.; González-Manteiga, W. and Martínez-Miranda, M.D. (2024). Goodness-of-fit test for point processes first-order intensity Computational Statistics and Data Analysis Google Scholar

2) González-Manteiga, W.; Martínez-Miranda, M.D. and Van Keilegom, I. (2023). Goodness-of-fit tests in proportional hazards models with random effects Biometrical Journal Vol. 65 Google Scholar

3) Gámiz,, M.L.; Mammen, E.; Martínez-Miranda, M.D. and Nielsen, J.P. (2022). Missing Link Survival Analysis with Applications to Available Pandemic Data Computational Statistics and Data Analysis Vol. 169, pp. 107405 Google Scholar

4) Isakson, A.; Kummaker, S.; Martínez-Miranda, M.D. and Rickayzen, B. (2021). Calendar Effect and In-Sample Forecasting Applied to Mesothelioma Mortality Data Mathematics Vol. 9, pp. 2260 Google Scholar

5) Hiabu, M.; Mammen, E.; Martínez-Miranda, M.D. and Nielsen, J.P. (2021). Smooth Backfitting of Proportional Hazards with Multiplicative Components Journal of the American Statistical Association Vol. 116, pp. 1983-1993 Google Scholar

6) Mammen, E.; Martínez-Miranda, M.D.; Nielsen, J.P. and Vogt, M. (2021). Calendar Effect and in-sample forecasting. Insurance: Mathematics and Economics Insurance: Mathematics and Economics Vol. 96, pp. 31-52 Google Scholar

7) Borrajo, M.I.; González-Manteiga, W. and Martínez-Miranda, M.D. (2020). Bootstrapping kernel intensity estimation for non-homogeneous point processes with spatial covariates Computational Statistics & Data Analysis Vol. 144, pp. 10687 Google Scholar

8) Borrajo, M.I.; González-Manteiga, W. and Martínez-Miranda, M.D. (2020). Testing for significant differences between two spatial patterns using covariates Spatial Statistics Google Scholar

9) Borrajo, M.I.; González-Manteiga, W. and Martínez-Miranda, M.D. (2020). Bootstrapping kernel intensity estimation for imhomogeneous poit processes with spatial covariates Computational Statistics and Data Analysis Google Scholar

10) Gamiz M.L.; López-Montoya, A.; Martínez-Miranda, M.D. and Raya Miranda, R. (2019). Data visualization for reliability analysis of repairable systems Quality and Reliability Engineering International Vol. 35, pp. 99-115 Google Scholar

11) Gamiz M.L.; Martínez-Miranda, M.D. and Nielsen, J.P. (2019). Multiplicative local linear hazard estimation and best one-sided cross-validation Journal of Machine Learning Research Vol. 20, pp. 1-29 Google Scholar

12) Elpidorou, V.; Margraf, C.; Martínez-Miranda, M.D. and Nielsen, B. (2019). A Likelihood Approach to Bornhuetter-Ferguson Analysis. Risks Vol. 7 Google Scholar

13) Gámiz,, M.L.; Martínez-Miranda, M.D. and Raya Miranda, R. (2018). Graphical goodness-of-fit test for mortality models Mathematical Population Studies Vol. 25, pp. 123-142 Google Scholar

14) Borrajo, M.I.; González-Manteiga, W. and Martínez-Miranda, M.D. (2017). Bandwidth selection for kernel density estimation with length-biased data Journal of Nonparametric Statistics Vol. 29 (3), pp. 636-668 Google Scholar

15) Gamiz M.L.; Mammen, E.; Martínez-Miranda, M.D. and Nielsen, J.P. (2016). Do-validating local linear hazards Journal of the Royal Statistical Society Series B Vol. 78, pp. 755-779 Google Scholar

16) González-Manteiga, W.; Martínez-Miranda, M.D. and Van Keilegom, I. (2016). Goodness-of-fit Test in Parametric Mixed Effects Models based on Estimation of the Error Distribution Biometrika Vol. 103 (1), pp. 133-146 Google Scholar

17) Hiabu, M.; Mammen, E.; Martínez-Miranda, M.D. and Nielsen, J.P. (2016). In-sample forecasting with local linear survival densities Biometrika Vol. 103, pp. 843-859 Google Scholar

18) Martínez-Miranda, M.D.; Nielsen, B. and Nielsen, J.P. (2016). Simple benchmark for mesothelioma projection for Great Britain Occupational and Environmental Medicine Vol. 73, pp. 561-563 Google Scholar

19) Hiabu, M.; Margraf, C.; Martínez-Miranda, M.D. and Nielsen, J.P. (2016). Cash flow generalisations of non-life insurance expert systems estimating outstanding liabilities Expert Systems with Applications Vol. 45, pp. 400-409 Google Scholar

20) Hiabu, M.; Margraf, C.; Martínez-Miranda, M.D. and Nielsen, J.P. (2016). The Link Between Classical Reserving and Granular Reserving Through Double Chain Ladder and its Extensions British Actuarial Journal Vol. 21, pp. 97-116 Google Scholar

21) Martínez-Miranda, M.D.; Nielsen, B. and Nielsen, J.P. (2015). Inference and prediction in the age-period-cohort model with unknown exposure Journal of The Royal Statistical Society Series A-Statistics In Society Vol. 178(1), pp. 29-55 Google Scholar

22) Martínez-Miranda, M.D.; Nielsen, J.P.; Verrall, R. and Wüthrich, M.V. (2015). Double chain ladder, claims development inflation and zero-claims Scandinavian Actuarial Journal Vol. 2015, Issue 5, pp. 383-405 Google Scholar

23) Mammen, E.; Martínez-Miranda, M.D. and Nielsen, J.P. (2015). In-Sample Forecasting Applied to Reserving and Mesothelioma Mortality Insurance: Mathematics and Economics Vol. 61, pp. 76-86 Google Scholar

24) López-Montoya, A.; Gamiz M.L. and Martínez-Miranda, M.D. (2015). Local Linear Smoothing to Estimate Accelerated Lifetime Model with Censoring and Truncation Applied Mathematical Modelling Vol. 39, pp. 4630-4645 Google Scholar

25) Hiabu, M.; Martínez-Miranda, M.D.; Nielsen, J.P.; Spreeuw, J. and Tanggaard, C. (2015). Global Polynomial Kernel Hazard Estimation Revista Colombiana de Estadística Vol. 38, pp. 399-411 Google Scholar

26) Agbeko,T.; Hiabu, M.; Martínez-Miranda, M.D.; Nielsen, J.P. and Verrall, R. (2015). Validating the Double Chain Ladder Stochastic Claims Reserving Model Variance-Advancing the Science of Risk Vol. 8(2), pp. 1-23 Google Scholar

27) Mammen, E.; Martínez-Miranda, M.D.; Nielsen, J.P. and Sperlich, S. (2014). Further theoretical and practical insight to the do-validated bandwidth selector Journal of Korean Statistical Society Vol. 43, pp. 355-365 Google Scholar

28) Gamiz M.L.; Martínez-Miranda, M.D. and Nielsen, J.P. (2013). Smoothing survival densities in practice Computational Statistics & Data Analysis Vol. 58(1), pp. 368-382 Google Scholar

29) González-Manteiga, W.; Lombardía, M. J.; Martínez-Miranda, M.D. and Sperlich, S. (2013). Kernel Smoothers and Bootstrapping for Semiparametric Mixed Effects Models Journal of Multivariate Analysis Vol. 114, pp. 288-302 Google Scholar

30) Gamiz M.L.; Janys, L.; Martínez-Miranda, M.D. and Nielsen, J.P. (2013). Smooth marker dependent hazard estimation in practice Computational Statistics and Data Analysis Vol. 68, pp. 155-169 Google Scholar

31) González-Manteiga, W.; Lombardía, M. J.; Martínez-Miranda, M.D. and Sperlich, S. (2013). Kernel Smoothers and Bootstrapping for Semiparametric Mixed Effects Models Journal of Multivariate Analysis Vol. 114, pp. 288-302 Google Scholar

32) Martínez-Miranda, M.D.; Nielsen, J.P.; Sperlich, S. and Verrall, R. (2013). Continuous Chain Ladder: Reformulating and generalizing a classical insurance problem Experts Systems with Applications Vol. 40(14), pp. 5588–5603 Google Scholar

33) Martínez-Miranda, M.D.; Nielsen, J.P. and Verrall, R. (2013). Double Chain Ladder and Bornhuetter-Ferguson North American Actuarial Journal Vol. 17(2), pp. 101-113 Google Scholar

34) Martínez-Miranda, M.D.; Nielsen, J.P. and Verrall, R. (2012). Double Chain Ladder Astin Bulletin Vol. 42(1), pp. 59-76 Google Scholar

35) Martínez-Miranda, M.D.; Nielsen, J.P. and Wüthrich, M.V. (2012). Statistical modelling and forecasting in Non-life insurance SORT Vol. 36(2), pp. 195-218 Google Scholar

36) Raya Miranda, R. and Martínez-Miranda, M.D. (2011). Data-driven local bandwidth selection for additive models with missing data Applied Mathematics and Computation Vol. 217(24), pp. 10328-10342 Google Scholar

37) Mammen, E.; Martínez-Miranda, M.D.; Nielsen, J.P. and Verrall, R. (2011). Do-validation for Kernel Density Estimation Journal of the American Statistical Association-Theory and Methods Vol. 106, pp. 651-660 Google Scholar

38) Martínez-Miranda, M.D.; Nielsen, B.; Nielsen, J.P. and Verrall, R. (2011). Cash flow simulation for a model of outstanding liabilities based on claim amounts and claim numbers Astin Bulletin Vol. 41(1), pp. 107–129 Google Scholar

39) Gamiz M.L. and Martínez-Miranda, M.D. (2010). Regression analysis of the structure function for reliability evaluation of continuous-state system Reliability Engineering and System Safety Vol. 95, pp. 134-142 Google Scholar

40) Martínez-Miranda, M.D.; Raya Miranda, R.; González-Manteiga, W. and González-Carmona, A. (2008). A bootstrap local bandwidth selector for additive models Journal of Computational and Graphical Statistics Vol. 17, 1, pp. 38-55 Google Scholar

41) González-Manteiga, W.; Martínez-Miranda, M.D. and Raya Miranda, R. (2008). Sizer map for inference with additive models Statistics and Computing Vol. 18, pp. 297-312 Google Scholar

42) González-Manteiga, W.; Martínez-Miranda, M.D. and Pérez González, Ana (2004). The choice of smoothing parameter in nonparametric regression through wild bootstrap Computational Statistics & Data Analysis Google Scholar