Accounting for Heteroscedasticity in Big Data Francisco Nibau Antunes† , Aidan O’Sullivan‡ , Filipe Rodrigues† Francisco Pereira‡ mail to: † - Sullivan - Document - PDFSEARCH.IO

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	Accounting for Heteroscedasticity in Big Data Francisco Nibau Antunes† , Aidan O’Sullivan‡ , Filipe Rodrigues† Francisco Pereira‡ mail to: † Add to Reading List Open Document File Size: 353,59 KB Share Result on Facebook Country Portugal / Singapore / / / IndustryTerm travel time / travel time prediction / travel times / ubiquitous sensing-systems / regression applications / observed travel times / variational inference algorithm / online learning / stochastic variational inference algorithm / / Organization MIT Alliance for Research and Technology / Center of Informatics / Center of Informatics and Systems of the Univ. of Coimbra / / Person Francisco Pereira / / ProgrammingLanguage V / / Technology variational inference algorithm / emergency systems / machine learning / stochastic variational inference algorithm / smartphone / GPS / / SocialTag Linear regression Heteroscedasticity Homoscedasticity Normal distribution Gauss–Markov theorem Quantile regression Variance Prediction interval Least squares Statistics

Accounting for Heteroscedasticity in Big Data Francisco Nibau Antunes† , Aidan O’Sullivan‡ , Filipe Rodrigues† Francisco Pereira‡ mail to: †Add to Reading List