• Nonparametric Estimation in Mixture Cure Models with Covariates 

      López-Cheda, Ana; Peng, Yingwei; Jácome, M. A. (Springer Nature, 2023-05-17)
      [Abstract] Nonparametric estimation methods for the cure rate and the distribution of the failure time of uncured subjects with covariates for censored survival data have attracted much attention in the last few years. To ...
    • Nonparametric estimation of circular trend surfaces with application to wave directions 

      Meilán-Vila, Andrea; Crujeiras-Casais, Rosa M.; Francisco-Fernández, Mario (2021)
      In oceanography, modeling wave fields requires the use of statistical tools capable of handling the circular nature of the data measurements. An important issue in ocean wave analysis is the study of height and direction ...
    • Nonparametric estimation of the probability of default in credit risk. 

      Peláez, Rebeca (2022)
      [Abstract] Financial institutions are interested in knowing the probability that their clients declare themselves unable to pay the debts incurred by granting a credit. The aim of this work is to propose models to estimate ...
    • Nonparametric forecasting in time series: a comparative study 

      Vilar, Juan M.; Cao, Ricardo (Taylor & Francis, 2007)
      The problem of predicting a future value of a time series is considered in this paper. If the series follows a stationary Markov process, this can be done by nonparametric estimation of the autoregression function. Two ...
    • Nonparametric geostatistical risk mapping 

      Fernández-Casal, Rubén; Castillo-Páez, Sergio; Francisco-Fernández, Mario (2018)
      In this work, a fully nonparametric geostatistical approach to estimate threshold exceeding probabilities is proposed. To estimate the large-scale variability (spatial trend) of the process, the nonparametric local linear ...
    • Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models 

      López-Cheda, Ana; Cao, Ricardo; Jácome, M. A.; Keilegom, Ingrid Van (Elsevier, 2017-01)
      [Abstract]: A completely nonparametric method for the estimation of mixture cure models is proposed. A nonparametric estimator of the incidence is extensively studied and a nonparametric estimator of the latency is presented. ...
    • Nonparametric Inference for Big-But-Biased Data 

      Borrajo, Laura (2021)
      [Abstract] It is often believed that in a Big Data context, given the large amount of data available, the data re ect precisely the underlying population. However, the data are often strongly biased due to the procedure ...
    • Nonparametric Inference for Mixture Cure Model When Cure Information Is Partially Available 

      Clarence Safari, Wende; López-de-Ullibarri, Ignacio; Jácome, M. A. (MDPI, 2021)
      [Abstract] We introduce nonparametric estimators to estimate the conditional survival function, cure probability and latency function in the setting of a mixture cure model when the cure status is partially known. For the ...
    • Nonparametric inference for neural synchrony under low firing activity 

      González Montoro, Aldana María (2013)
      [Abstract] The aim of this thesis is to introduce statistical tools to study neural synchrony under spontaneous activity. The data analyzed comes from extracellular recordings of the primary visual cortex of anesthetized ...
    • Nonparametric Inference for Regression Models with Spatially Correlated Errors 

      Meilán-Vila, Andrea (2020)
      [Abstract] Regression estimation can be approached using nonparametric procedures, producing exible estimators and avoiding misspeci cation problems. Alternatively, parametric methods may be preferable to nonparametric ...
    • Nonparametric Inference for the Mixture Cure Model When the Cure Status is Partially Known 

      Safari, Wende Clarence (2022)
      [Abstract] Classical analysis of time-to-event data assumes that all individuals will eventually experience the event of interest. However, when there is evidence of long-term survivors, cure models should be used ...
    • Nonparametric Inference in Mixture Cure Models 

      López-Cheda, Ana (2018)
      [Abstract] A completely nonparametric method for the estimation of mixture cure models is proposed. An incidence estimator is extensively studied and a latency estimator is presented. These estimators, which are based ...
    • Nonparametric Inference in Mixture Cure Models 

      López-Cheda, Ana; Cao, Ricardo; Jácome, M. A.; Keilegom, Ingrid Van (MDPI, 2018-09)
      [Abstract]: A completely nonparametric method for the estimation of mixture cure models is proposed. Nonparametric estimators for the cure probability (incidence) and for the survival function of the uncured population ...
    • Nonparametric Kernel Estimation of the Probability of Cure in a Mixture Cure Model when the Cure Status is Partially Observed 

      Safari, Wende Clarence; López-de-Ullibarri, Ignacio; Jácome, M. A. (Sage, 2022-08-01)
      [Abstract] Cure models are a class of time-to-event models where a proportion of individuals will never experience the event of interest. The lifetimes of these so-called cured individuals are always censored. It is usually ...
    • Nonparametric latency estimation for mixture cure models 

      López-Cheda, Ana; Jácome, M. A.; Cao, Ricardo (Springer Nature, 2017-06)
      [Abstract]: A nonparametric latency estimator for mixture cure models is studied in this paper. An i.i.d. representation is obtained, the asymptotic mean squared error of the latency estimator is found, and its asymptotic ...
    • Nonparametric multiple regression estimation for circular response 

      Meilán-Vila, Andrea; Francisco-Fernández, Mario; Crujeiras-Casais, Rosa M.; Panzera, Agnese (2021)
      Nonparametric estimators of a regression function with circular response and -valued predictor are considered in this work. Local polynomial estimators are proposed and studied. Expressions for the asymptotic conditional ...
    • Nonparametric Regression Estimation for Circular Data 

      Meilán-Vila, Andrea; Francisco-Fernández, Mario; Crujeiras-Casais, Rosa M.; Panzera, Agnese (M D P I AG, 2019-07-31)
      [Abstract] Non-parametric regression with a circular response variable and a unidimensional linear regressor is a topic which was discussed in the literature. In this work, we extend the results to the case of multivariate ...
    • Una norma de firmes en Galicia 

      Pérez Pérez, Ignacio; Pasandín, A.R. (Asociación Española de la Carretera, 2009)
      [Resumen:] En esta comunicación se analiza la necesidad de una normativa técnica específica en materia de firmes para la Comunidad Autónoma de Galicia. En la actualidad existe la necesidad de constituir una guía para ...
    • Normalized sensitivities and parameter identifiability of in situ diffusion experiments on Callovo–Oxfordian clay at Bure site 

      Samper, Javier; Dewonck, S.; Zheng, Liange; Yang, Qingchun; Naves, Acacia (Elsevier, 2008)
      Diffusion of inert and reactive tracers (DIR) is an experimental program performed by ANDRA at Bure underground research laboratory in Meuse/Haute Marne (France) to characterize diffusion and retention of radionuclides in ...
    • Normas de edición para a poesía trobadoresca galego-portuguesa 

      Ferreiro, Manuel; Martínez Pereiro, Carlos Paulo; Tato-Fontaíña, Laura (Universidade da Coruña. Servizo de Publicacións, 2007)
      [Resumo]Exposición pormenorizada das Normas de Edición para a poesía trobadoresca galego-portuguesa, a partir dos debates e decisións acordadas no Coloquio da Illa de San Simón (2006) polos máis importantes especialistas ...