References
- Silverman B. Density estimation for statistics and data analysis. London: Chapman & Hall; 1986.
- Parzen E. On estimation of a probability density function and mode. Ann Math Statist. 1962;33:1065–1076. doi: 10.1214/aoms/1177704472
- Bartlett MS. Statistical estimation of density functions. Sankhya Ser A. 1963;25:245–254.
- Choi E, Hall P. Data sharpening as a prelude to density estimation. Biometrika. 1999;86(4):941–947. doi: 10.1093/biomet/86.4.941
- Sen B, Banerjee M. A pseudolikelihood method for analyzing interval censored data. Biometrika. 2007;94:71–86. doi: 10.1093/biomet/asm011
- Braun J, Duchesne T, Stafford JE. Local likelihood density estimation for interval censored data. Canad J Statist. 2005;33(1):39–60. doi: 10.1002/cjs.5540330104
- Fan C-PS, Stafford J, Brown PE. Local-EM and the EMS algorithm. J Comput Graph Statist. 2011;20(3):750–766. doi: 10.1198/jcgs.2011.10106
- Kim MY, Xue X. The analysis of multivariate interval-censored survival data. Stat Med. 2002;21:3715–3726. doi: 10.1002/sim.1265
- Rucker G, Messerer D. Remission duration: an example of interval-censored observations. Stat Med. 1988;7:1139–1145. doi: 10.1002/sim.4780071106
- Wand MP, Jones MC. Kernel smoothing. London: Chapman and Hall; 1995.
- R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria; 2016. Available from: https://www.R-project.org/
- Marron JS, Wand MP. Exact mean integrated squared error. Ann Statist. 1992;20:712–736. doi: 10.1214/aos/1176348653
- Wand M. KernSmooth: functions for kernel smoothing for Wand & Jones (1995). R package version 2.23-10; 2013. Available from: http://CRAN.R-project.org/package=KernSmooth
- Braun WJ. ICE: iterated conditional expectation. R package version 0.69; 2013. Available from: https://CRAN.R-project.org/package=ICE