[00832] Monte Carlo estimation of equity measures for apportionment problem
Session Time & Room : 5B (Aug.25, 10:40-12:20) @E505
Type : Contributed Talk
Abstract : A Markov chain Monte Carlo method is devised for the computation of several equity measures for the apportionment problem of assembly seats to electoral districts. Seat bias and Gini mean difference is of our primary interest in computing. Generating a random walk in the high-dimensional simplex is the key to our algorithm. It is helpful to estimate the mean and several quantiles of the target statistics.
