Inferring causal impact using Bayesian structural time-series models
type: Item
instance of: scholarly article
published in: The Annals of Applied Statistics
volume: 9
issue: 1
publication date: 2015-03-01T00:00:00Z
publication date: 2015-06-17T00:00:00Z
author: Kay H. Brodersen
author: Fabian Gallusser
author: Jim Koehler
author: Nicolas Remy
author: Steven L. Scott
title: Inferring causal impact using Bayesian structural time-series models
zbMATH Open document ID: 1454.62473
full work available at URL: https://arxiv.org/abs/1506.00356
full work available at URL: https://projecteuclid.org/euclid.aoas/1430226092
Mathematics Subject Classification ID: 62P20
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62M20
zbMATH DE Number: 6446568
zbMATH Keywords: causal inference
zbMATH Keywords: counterfactual
zbMATH Keywords: synthetic control
zbMATH Keywords: observational
zbMATH Keywords: difference in differences
zbMATH Keywords: econometrics
zbMATH Keywords: advertising
zbMATH Keywords: market research
describes a project that uses: R
describes a project that uses: CausalImpact
MaRDI profile type: Publication
arXiv ID: 1506.00356
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OpenAlex ID: W2078639378
DOI: 10.1214/14-AOAS788
description: scientific article