Bayes bandwidth selection in kernel density estimation with censored data
DOI10.1080/10485250600556744zbMath1099.62037OpenAlexW2012770097MaRDI QIDQ5478896
K. B. Kulasekera, W. J. Padgett
Publication date: 13 July 2006
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485250600556744
Bayesian estimationBandwidth selectionDensity estimationPrior distributionAsymmetric kernelsSpill-over
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Censored data models (62N01) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)
Related Items (20)
Cites Work
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- Asymptotically optimal bandwidth selection for kernel density estimators from randomly right-censored samples
- Nonparametric Estimation from Incomplete Observations
- Local bandwidth selection for kernel density estimation from right-censored data based on asymptotic mean absolute error
- Bayesian approach to the choice of smoothing parameter in kernel density estimation
- Density estimation using inverse and reciprocal inverse Gaussian kernels
- Probability density function estimation using gamma kernels
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