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Estimation of the conditional distribution in regression with censored data: a comparative study

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  • Keilegom, Ingrid Van
  • Akritas, Michael G.
  • Veraverbeke, Noel

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  • Keilegom, Ingrid Van & Akritas, Michael G. & Veraverbeke, Noel, 2001. "Estimation of the conditional distribution in regression with censored data: a comparative study," Computational Statistics & Data Analysis, Elsevier, vol. 35(4), pages 487-500, February.
    • Handle: RePEc:eee:csdana:v:35:y:2001:i:4:p:487-500
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    References listed on IDEAS

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    1. Ingrid Van Keilegom & Noël Veraverbeke, 1997. "Estimation and Bootstrap with Censored Data in Fixed Design Nonparametric Regression," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 49(3), pages 467-491, September.
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    Cited by:

    1. Weiyu Li & Valentin Patilea, 2018. "A dimension reduction approach for conditional Kaplan–Meier estimators," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(2), pages 295-315, June.
    2. Luís Meira-Machado & Jacobo Uña-Álvarez & Somnath Datta, 2015. "Nonparametric estimation of conditional transition probabilities in a non-Markov illness-death model," Computational Statistics, Springer, vol. 30(2), pages 377-397, June.
    3. Luís Meira-Machado & Javier Roca-Pardiñas & Ingrid Van Keilegom & Carmen Cadarso-Suárez, 2013. "Bandwidth selection for the estimation of transition probabilities in the location-scale progressive three-state model," Computational Statistics, Springer, vol. 28(5), pages 2185-2210, October.
    4. Rachdi, Mustapha & Laksaci, Ali & Demongeot, Jacques & Abdali, Abdel & Madani, Fethi, 2014. "Theoretical and practical aspects of the quadratic error in the local linear estimation of the conditional density for functional data," Computational Statistics & Data Analysis, Elsevier, vol. 73(C), pages 53-68.
    5. Zhao, Shan & Wei, G. W., 2003. "Jump process for the trend estimation of time series," Computational Statistics & Data Analysis, Elsevier, vol. 42(1-2), pages 219-241, February.
    6. Legrand, Catherine & Munda, Marco & Janssen, P. & Duchateau, L., 2012. "A general class of time-varying coefficients models for right censored data," LIDAM Discussion Papers ISBA 2012041, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    7. Francesco Bravo, 2020. "Semiparametric quantile regression with random censoring," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(1), pages 265-295, February.
    8. Beaudoin, David & Duchesne, Thierry & Genest, Christian, 2007. "Improving the estimation of Kendall's tau when censoring affects only one of the variables," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 5743-5764, August.
    9. Rebeca Peláez Suárez & Ricardo Cao Abad & Juan M. Vilar Fernández, 2021. "Probability of default estimation in credit risk using a nonparametric approach," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(2), pages 383-405, June.
    10. Casanova, Sandrine & Leconte, Eve, 2014. "A nonparametric model-based estimator for the cumulative distribution function of a right censored variable in a finite population," TSE Working Papers 14-487, Toulouse School of Economics (TSE).

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