![Estimation theory / Statistical theory / Maximum likelihood estimation / Bias of an estimator / Completeness / Poisson regression / Linear regression / Exponential family / Likelihood function / Estimator / Mean squared error / Law of large numbers Estimation theory / Statistical theory / Maximum likelihood estimation / Bias of an estimator / Completeness / Poisson regression / Linear regression / Exponential family / Likelihood function / Estimator / Mean squared error / Law of large numbers](https://www.pdfsearch.io/img/dc8828f1f19d5e258c2fa9a2398e2437.jpg) Date: 2013-06-06 11:45:10Estimation theory Statistical theory Maximum likelihood estimation Bias of an estimator Completeness Poisson regression Linear regression Exponential family Likelihood function Estimator Mean squared error Law of large numbers | | Fast inference in generalized linear models via expected log-likelihoods Alexandro D. Ramirez 1,*, Liam Paninski 2 1 Weill Cornell Medical College, NY. NY, U.S.A * Add to Reading ListSource URL: www.stat.columbia.eduDownload Document from Source Website File Size: 1,48 MBShare Document on Facebook
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