Items where City Author is "Miranda, Maria"
Gámiz Pérez, M. L., Martinez-Miranda, M. D. & Nielsen, J. P. 
ORCID: 0000-0002-2798-0817 (2018).
Multiplicative local linear hazard estimation and best one-sided cross-validation.
Journal of Machine Learning, 20,
pp. 1-29.
Gonzalez-Manteiga, W, Borrajo, MI & Martinez-Miranda, M. D. (2017). Bandwidth selection for kernel density estimation with length-biased data. Journal of Nonparametric Statistics, 29(3), pp. 636-668. doi: 10.1080/10485252.2017.1339309
Hiabu, M., Mammen, E., Martinez-Miranda, M. D. & Nielsen, J. P. (2016). In-Sample Forecasting with Local Linear Survival Densities. Biometrika, 103(4), pp. 843-859. doi: 10.1093/biomet/asw038
González-Manteiga, W., Martinez-Miranda, M. D. & Van Keilegom, I. (2016). Goodness-of-fit test in parametric mixed effects models based on estimation of the error distribution. Biometrika, 103(1), pp. 133-146. doi: 10.1093/biomet/asv061
Martinez-Miranda, M. D., Nielsen, B. & Nielsen, J. P. (2016). A simple benchmark for mesothelioma projection for Great Britain. Occupational and Environmental Medicine, 73(8), pp. 561-563. doi: 10.1136/oemed-2015-103303
López-Montoya, A.J., Gámiz-Pérez, M.L. & Martinez-Miranda, M. D. (2015). Local linear smoothing to estimate accelerated lifetime model with censoring and truncation. Applied Mathematical Modelling, 39(16), pp. 4630-4645. doi: 10.1016/j.apm.2015.03.063
Martinez-Miranda, M. D., Nielsen, J. P., Verrall, R. J. & Wüthrich, M. V. (2015). Double chain ladder, claims development inflation and zero-claims. Scandinavian Actuarial Journal, 2015(5), pp. 383-405. doi: 10.1080/03461238.2013.823459
Mammen, E., Martinez-Miranda, M. D. & Nielsen, J. P. (2015). In-Sample Forecasting Applied to Reserving and Mesothelioma Mortality. Insurance: Mathematics and Economics, 61, pp. 76-86. doi: 10.1016/j.insmatheco.2014.12.001
Mammen, E., Martinez-Miranda, M. D., Nielsen, J. P. & Sperlich, S. (2014). Further theoretical and practical insight to the do-validated bandwidth selector. Journal of the Korean Statistical Society, 43(3), pp. 355-365. doi: 10.1016/j.jkss.2013.11.001
Martinez-Miranda, M. D., Nielsen, B. & Nielsen, J. P. (2014). Inference and forecasting in the age-period-cohort model with unknown exposure with an application to mesothelioma mortality. Journal of the Royal Statistical Society. Series A: Statistics in Society, 178(1), pp. 29-55. doi: 10.1111/rssa.12051
Martinez-Miranda, M. D., Nielsen, J. P., Sperlich, S. & Verrall, R. J. (2013). Continuous Chain Ladder: Reformulating and generalizing a classical insurance problem. Expert Systems with Applications, 40(14), pp. 5588-5603. doi: 10.1016/j.eswa.2013.04.006
Gámiz Pérez, M. L., Janys, L., Martinez-Miranda, M. D. & Nielsen, J. P. (2013). Bandwidth selection in marker dependent kernel hazard estimation. Computational Statistics and Data Analysis, 68, pp. 155-169. doi: 10.1016/j.csda.2013.06.010
Martinez-Miranda, M. D., Nielsen, J. P. & Verrall, R. J. (2013). Double Chain Ladder and Bornhuetter-Ferguson. North American Actuarial Journal, 17(2), pp. 101-113. doi: 10.1080/10920277.2013.793158
Gámiz Pérez, M. L., Martinez-Miranda, M. D. & Nielsen, J. P. (2013). Smoothing survival densities in practice. Computational Statistics and Data Analysis, 58(1), pp. 368-382. doi: 10.1016/j.csda.2012.09.011
Martinez-Miranda, M. D., Nielsen, J. P. & Wuethrich, M. V. (2012). Statistical modelling and forecasting of outstanding liabilities in non-life insurance. SORT, 36(2), pp. 195-218.
Martinez-Miranda, M. D., Nielsen, J. P. & Verrall, R. J. (2012). Double Chain Ladder. ASTIN Bulletin, 42(1), pp. 59-76. doi: 10.2143/AST.42.1.216071
Mammen, E., Martinez-Miranda, M. D., Nielsen, J. P. & Sperlich, S. (2011). Do-Validation for Kernel Density Estimation. Journal of the American Statistical Association, 106(494), pp. 651-660. doi: 10.1198/jasa.2011.tm08687
Martinez-Miranda, M. D., Nielsen, B., Nielsen, J. P. & Verrall, R. J. (2011). Cash flow simulation for a model of outstanding liabilities based on claim amounts and claim numbers. ASTIN Bulletin, 41(1), pp. 107-129. doi: 10.2143/AST.41.1.2084388