ABSTRACT

Our discussions of probability models in previous chapters, with few exceptions, assume that the desired dataset is completely observed. In this chapter we consider probability models and Bayesian methods for problems with missing data. This chapter applies some of the terminology and notation of Chapter 8, which describes models for collection and observation of data.