KDE for censored data

I have a sample of observations where about $30\%$ of the observations are right-censored. I want to fit a kernel density estimator to this sample but I have not found a standard method to do so. Is there any widely accepted methodology for fitting a KDE in the presence of censored observations?

• Hmm, it is similar, but not quite the same situation as in zero-inflated data. In spatial statistics with truncated data you can weight points closer to the boundary, but that logic is not easily translated to censored data off-hand. – Andy W Feb 9 '16 at 14:54
• Can you describe what sort of problem or sequence this data describes? – DWin Mar 31 '18 at 6:14