Home | Quick Search | Advanced Search | Bibliography submission | Bibliography submission using bibtex | Bibliography submission using bibtex file | Links | Help | Internal


TitleAsymptotically efficient estimators for algebraic statistical manifolds.
Author(s) Kei Kobayashi, Henry P. Wynn
TypeBook, Chapter in Book, Conference Proceeding
AbstractA strong link between information geometry and algebraic statistics is made by investigating statistical manifolds which are algebraic varieties. In particular it it shown how first and second order efficiency estimators can be constructed, such as bias corrected Maximum Likelihood Estimators and more general estimators, but for which the estimating equations are purely algebraic. In addition it is shown how Gröbner basis technology, which is at the heart of algebraic statistics, can be used to reduce the degrees of the terms in the estimating equations. This points the way to the feasible use, to find the estimators, of special methods for solving polynomial equations, such are homotopy methods.
URL http://link.springer.com/chapter/10.1007%2F978-3-642-40020-9_80
PublisherBerlin: Springer
Translation No
Refereed No