Accepted for publication in the Annals of Applied Statistics (in press), [removed]INFERRING CAUSAL IMPACT USING BAYESIAN STRUCTURAL TIME-SERIES MODELS By Kay H. Brodersen, Fabian Gallusser, Jim Koehler, Nicolas Remy, and - Regression Analysis of Time Series - Document - PDFSEARCH.IO

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	Accepted for publication in the Annals of Applied Statistics (in press), [removed]INFERRING CAUSAL IMPACT USING BAYESIAN STRUCTURAL TIME-SERIES MODELS By Kay H. Brodersen, Fabian Gallusser, Jim Koehler, Nicolas Remy, and Add to Reading List Document Date: 2014-09-20 03:22:20 Open Document File Size: 707,32 KB Share Result on Facebook Company Steven L. Scott Google Inc. / Monte Carlo / Google / Hoover / Cox / Danaher / / Country United Kingdom / United States / Canada / / / IndustryTerm online advertising campaign / stochastic algorithm / advertising campaign / / Person Kay H. Brodersen / Fabian Gallusser / Nicolas Remy / Jim Koehler / Tt / / Position Rt / AR-type model for ut itself / / ProvinceOrState Alabama / / Technology stochastic algorithm / / URL http / SocialTag Philosophy of science Conditionals Estimation theory Linear regression Causality Time series Seasonality Statistical power Statistics Econometrics

Accepted for publication in the Annals of Applied Statistics (in press), [removed]INFERRING CAUSAL IMPACT USING BAYESIAN STRUCTURAL TIME-SERIES MODELS By Kay H. Brodersen, Fabian Gallusser, Jim Koehler, Nicolas Remy, andAdd to Reading List