Exact credal treatment of missing data

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Experimental uncertainty estimation and statistics for data having interval uncertainty. (2007, methodology): “…can check the overall fit of models, all of the standard statistical methods for handling censored data make assumptions about the underlying distribution that, insofar as they specify features behind the veil of the censoring, cannot be checked by appeal to data (Manski 2003; Zaffalon 2002; 2005).”
Partial Identification in Econometrics (2010, background): “Horowitz and Manski (1998; 2000) and Zaffalon (2002) study nonparametric prediction when nothing is known about the missingness process; Horowitz et al. (2003) and Horowitz and Manski (2005) consider the computationally challenging problem of parametric prediction.”