The Dirichlet process can be used as a nonparametric prior for an infinite-dimensional probability mass function on the parameter space of a mixture model. The set of parameters o...
In this paper, we derive lower and upper bounds for the probability of error for a linear classifier, where the random vectors representing the underlying classes obey the multivar...
In this paper, we propose a simple technique for estimating the standard deviation of a Gaussian random jitter component in a multi-gigahertz signal. This method may utilize exist...
We investigate theoretically some properties of variational Bayes approximations based on estimating the mixing coefficients of known densities. We show that, with probability 1 a...
Access to historically significant email archives poses challenges that arise less often in personal collections. Most notably, searchers may need help making sense of the identit...