Eliminating Multiple Root Problems In Estimation

By Christopher G. Small, Jinfang Wang, Zejiang Yang. 2016

48 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/faceaa32395e572570864a5636f34e1237e223f1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Donald St. P. Richards
2. Piotr Zwiernik
3. Caroline Uhler
4. Daniel Kifer
5. Yue Wang

Citations in the corpus

• Maximum likelihood estimation for linear Gaussian covariance models (2014, background): “Such models arise for example in maximum likelihood estimation of correlation matrices for Gaussian populations [RM94, SWY00, SO91] or covariance matrices with prescribed zeros [DR04, CDR07], applications of stationary stochastic processes from repeated time series data [And70, And73], Brownian…”