Implementing Approximate Bayesian Inference using Integrated Nested Laplace Approximation: a manual for the inla program Sara Martino and H˚avard Rue Department of Mathematical Sciences NTNU, Norway January 2008 - International Obfuscated C Code Contest - Document - PDFSEARCH.IO

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	Implementing Approximate Bayesian Inference using Integrated Nested Laplace Approximation: a manual for the inla program Sara Martino and H˚avard Rue Department of Mathematical Sciences NTNU, Norway January 2008 Add to Reading List Document Date: 2008-09-28 15:14:45 Open Document File Size: 1,85 MB Share Result on Facebook City Tokyo / / Company Dell / Monte Carlo / Intel / / Country Norway / / Facility University of Munich / GMRFLib library / / IndustryTerm software tool / / Organization H˚avard Rue Department of Mathematical Sciences NTNU / U.S. Securities and Exchange Commission / University of Munich / / Person Stochastic / Sara Martino / / Position model for the random vector f / volatility model / / ProgrammingLanguage C / Fortran / / TVStation Wand / / Technology required algorithms / / URL http / SocialTag C programming language International Obfuscated C Code Contest Expectation–maximization algorithm Computer programming Computing Statistics

Implementing Approximate Bayesian Inference using Integrated Nested Laplace Approximation: a manual for the inla program Sara Martino and H˚avard Rue Department of Mathematical Sciences NTNU, Norway January 2008Add to Reading List