![Statistics / Statistical theory / Estimation theory / Actuarial science / Expectationmaximization algorithm / Missing data / Maximum likelihood estimation / Variational Bayesian methods / Linear regression / Normal distribution / Covariance / Regression analysis Statistics / Statistical theory / Estimation theory / Actuarial science / Expectationmaximization algorithm / Missing data / Maximum likelihood estimation / Variational Bayesian methods / Linear regression / Normal distribution / Covariance / Regression analysis](https://www.pdfsearch.io/img/34caea54d9de99139e1021e03c3744cf.jpg) Date: 2016-08-04 15:02:44Statistics Statistical theory Estimation theory Actuarial science Expectationmaximization algorithm Missing data Maximum likelihood estimation Variational Bayesian methods Linear regression Normal distribution Covariance Regression analysis | | Spectral learning of linear dynamics from generalised-linear observations with application to neural population data Lars Buesing∗ , Jakob H. Macke∗,† , Maneesh Sahani Gatsby Computational Neuroscience UnitAdd to Reading ListSource URL: www.mackelab.orgDownload Document from Source Website File Size: 199,46 KBShare Document on Facebook
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