TY - ELEC
AU - Aditya Guntuboyina
PY - 2019
TI - On the nonparametric maximum likelihood estimator for Gaussian location mixture densities and applications
LA - eng
M3 - Moving Image
AB - I will start by presenting some Hellinger accuracy results for the Nonparametric Maximum Likelihood Estimator (NPMLE) for Gaussian location mixture densities. I will then present two applications of the NPMLE: (a) empirical Bayes estimation of multivariate normal means, and (b) a multiple hypothesis testing problem involving univariate normal means. I will also talk about an extension to the mixture of linear regressions model. This is based on joint work with several collaborators who will be mentioned during the talk.
N2 - I will start by presenting some Hellinger accuracy results for the Nonparametric Maximum Likelihood Estimator (NPMLE) for Gaussian location mixture densities. I will then present two applications of the NPMLE: (a) empirical Bayes estimation of multivariate normal means, and (b) a multiple hypothesis testing problem involving univariate normal means. I will also talk about an extension to the mixture of linear regressions model. This is based on joint work with several collaborators who will be mentioned during the talk.
UR - https://open.library.ubc.ca/collections/48630/items/1.0383296
ER - End of Reference