<--- Back to Details
First PageDocument Content
Normal distribution / Maximum likelihood / Matrix / Multivariate normal distribution / Cholesky decomposition / Point estimation / Prior probability / Likelihood function / Estimator / Statistics / Estimation theory / Variance
Date: 2013-02-04 23:42:24
Normal distribution
Maximum likelihood
Matrix
Multivariate normal distribution
Cholesky decomposition
Point estimation
Prior probability
Likelihood function
Estimator
Statistics
Estimation theory
Variance

What to Do When Your Hessian Is Not Invertible Alternatives to Model Respecification in Nonlinear Estimation JEFF GILL University of California, Davis

Add to Reading List

Source URL: gking.harvard.edu

Download Document from Source Website

File Size: 394,33 KB

Share Document on Facebook

Similar Documents

Likelihood Function .... Method of Moments ...........

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  ¾

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 ¾

DocID: 1uuy9 - View Document

The shape of the one-dimensional phylogenetic likelihood function

The shape of the one-dimensional phylogenetic likelihood function

DocID: 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 p

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 p

DocID: 1t5Vr - View Document

On the Application of Automatic Differentiation to the Likelihood Function for Dynamic General Equilibrium Models

On the Application of Automatic Differentiation to the Likelihood Function for Dynamic General Equilibrium Models

DocID: 1ryLK - View Document