Publicaciones en colaboración con investigadores/as de Universidad Carlos III de Madrid (31)

2021

  1. Iterative variable selection for high-dimensional data: Prediction of pathological response in triple-negative breast cancer

    Mathematics, Vol. 9, Núm. 3, pp. 1-14

2020

  1. Variable selection with P-splines in functional linear regression: Application in graft-versus-host disease

    Biometrical Journal, Vol. 62, Núm. 7, pp. 1670-1686

2018

  1. A novel predictive approach for GVHD after allogeneic SCT based on clinical variables and cytokine gene polymorphisms

    Blood Advances, Vol. 2, Núm. 14, pp. 1719-1737

2012

  1. Comparing quantile residual life functions by confidence bands

    Lifetime Data Analysis, Vol. 18, Núm. 2, pp. 195-214

2011

  1. Extremality for Functional Data

    RECENT ADVANCES IN FUNCTIONAL DATA ANALYSIS AND RELATED TOPICS

  2. Percentile residual life orders

    Applied Stochastic Models in Business and Industry, Vol. 27, Núm. 3, pp. 235-252

  3. The percentile residual life up to time t0: Ordering and aging properties

    Journal of Statistical Planning and Inference, Vol. 141, Núm. 11, pp. 3554-3563

2009

  1. On the concept of depth for functional data

    Journal of the American Statistical Association, Vol. 104, Núm. 486, pp. 718-734

2007

  1. Depth-based inference for functional data

    Computational Statistics and Data Analysis, Vol. 51, Núm. 10, pp. 4957-4968

2006

  1. Bootstrap prediction for returns and volatilities in GARCH models

    Computational Statistics and Data Analysis, Vol. 50, Núm. 9, pp. 2293-2312

  2. Depth-based classification for functional data

    Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications

  3. Introducing model uncertainty by moving blocks bootstrap

    Statistical Papers, Vol. 47, Núm. 2, pp. 167-179

2005

  1. Bootstrap prediction intervals for power-transformed time series

    International Journal of Forecasting, Vol. 21, Núm. 2, pp. 219-235

  2. Forecast of the expected non-epidemic morbidity of acute diseases using resampling methods

    Journal of Applied Statistics, Vol. 32, Núm. 3, pp. 281-295

2004

  1. Bootstrap predictive inference for arima processes

    Journal of Time Series Analysis, Vol. 25, Núm. 4, pp. 449-465

  2. Introducing model uncertainty in time series bootstrap

    Statistica Sinica, Vol. 14, Núm. 1, pp. 155-174

  3. Nuevas herramientas para inferencia con datos funcionales

    XXVIII Congreso Nacional de Estadística e Investigación Operativa: [archivo de ordenador] Cádiz, 25-29 de octubre de 2004

  4. Random coefficient regressions: Parametric goodness-of-fit tests

    Journal of Statistical Planning and Inference, Vol. 119, Núm. 2, pp. 377-400

2003

  1. On sieve bootstrap prediction intervals

    Statistics and Probability Letters, Vol. 65, Núm. 1, pp. 13-20

  2. Resampling time series using missing values techniques

    Annals of the Institute of Statistical Mathematics, Vol. 55, Núm. 4, pp. 765-796