Showing papers by "Barry R. Davis published in 1984"
TL;DR: A nonparametric inference algorithm developed by Davis and Geman (1983) and applied to a medical prediction employs an estimation procedure for acquiring pairwise statistics among variables of a binary data set and employs a decision rule which asymptotically gives the minimum expected error.
Abstract: A nonparametric inference algorithm developed by Davis and Geman (1983) is extended problem. The algorithm and applied to a medical prediction employs an estimation procedure for acquiring pairwise statistics among variables of a binary data set, allows for the data-driven creation of interaction terms among the variables, and employs a decision rule which asymptotically gives the minimum expected error. The inference procedure was designed for large data sets but has been extended via the method of cross-validation to encompass smaller data sets.