Type: Article
Publication Date: 2011-06-30
Citations: 3
DOI: https://doi.org/10.1080/00949655.2011.561436
In models using categorical data, one may use adjacency relations to justify smoothing to improve upon simple histogram approximations of the probabilities. This is particularly convenient for sparsely observed or rather peaked distributions. Moreover, in a few models, prior knowledge of a marginal distribution is available. We adapt local polynomial estimators to include this partial information about the underlying distribution and give explicit representations for the proposed estimators. An application to a set of anthropological data is included.