TY - JOUR
AU1 - Geisser, Seymour
AB - A class of Bayesian methods is presented for finding the posterior odds or probability that a particular observation belongs to one of k multivariate normal populations. Solutions are given for various assumptions on the parameters of the k populations as well as for known and unknown prior probabilities. An application to genetics is included.
TI - Posterior Odds for Multivariate Normal Classifications
JF - Journal of the Royal Statistical Society Series B (Statistical Methodology)
DO - 10.1111/j.2517-6161.1964.tb00540.x
DA - 1964-01-01
UR - https://www.deepdyve.com/lp/oxford-university-press/posterior-odds-for-multivariate-normal-classifications-4W30jWvs4Z
SP - 69
EP - 76
VL - 26
IS - 1
DP - DeepDyve
ER -