First Page | Document Content | |
---|---|---|
Date: 2014-07-02 20:20:52Estimation theory Numerical integration Mathematical analysis Statistics Statistical theory Numerical analysis M-estimators Maximum likelihood estimation Likelihood function Integral Logarithm Quadrature | On quadrature methods for refractory point process likelihoods Gonzalo Mena and Liam Paninski Statistics Department and Grossman Center for the Statistics of Mind Columbia University July 2, 2014Add to Reading ListSource URL: www.stat.columbia.eduDownload Document from Source WebsiteFile Size: 298,59 KBShare Document on Facebook |
Likelihood Function .... Method of Moments ...........DocID: 1vn7a - View Document | |
NOISE ROBUST SPEECH RECOGNITION USING GAUSSIAN BASIS FUNCTIONS FOR NON-LINEAR LIKELIHOOD FUNCTION APPROXIMATION Chris Pal½ ¾ , Brendan Frey½ ¾ and Trausti Kristjansson ½ ¾ ½ ¾DocID: 1uuy9 - View Document | |
The shape of the one-dimensional phylogenetic likelihood functionDocID: 1u9Og - View Document | |
Is Bayes posterior just quick and dirty confidence? D.A.S. Fraser March 9, 2009 Abstract Bayesintroduced the observed likelihood function to statistical inference and provided a weight function to calibrate the pDocID: 1t5Vr - View Document | |
On the Application of Automatic Differentiation to the Likelihood Function for Dynamic General Equilibrium ModelsDocID: 1ryLK - View Document |