Robust Causal Inference for Incremental Return on Ad Spend with Randomized Geo Experiments
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[1] Cun-Hui Zhang,et al. Lasso adjustments of treatment effect estimates in randomized experiments , 2015, Proceedings of the National Academy of Sciences.
[2] Probal Chaudhuri,et al. ON THE DERIVATIVES OF THE TRIMMED MEAN , 2012 .
[3] Jon Vaver,et al. Measuring Ad Effectiveness Using Geo Experiments , 2011 .
[4] Peng Ding,et al. Randomization inference for treatment effect variation , 2014, 1412.5000.
[5] Peter J. Bickel,et al. Mathematical Statistics: Basic Ideas and Selected Topics, Volume II , 2015 .
[6] Roger Koenker,et al. Quantile Regression : Penalized from : Handbook of Quantile Regression , 2018 .
[7] Dylan S. Small,et al. Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature Infants , 2010 .
[8] Mitchell J. Mergenthaler. Nonparametrics: Statistical Methods Based on Ranks , 1979 .
[9] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[10] Steven L. Scott,et al. Inferring causal impact using Bayesian structural time-series models , 2015, 1506.00356.
[11] Donald B. Rubin,et al. Asymptotic theory of rerandomization in treatment–control experiments , 2016, Proceedings of the National Academy of Sciences.
[12] P. Rosenbaum. Covariance Adjustment in Randomized Experiments and Observational Studies , 2002 .
[13] Avi Goldfarb,et al. Online Advertising , 2019, Adv. Comput..
[14] P. Ding,et al. General Forms of Finite Population Central Limit Theorems with Applications to Causal Inference , 2016, 1610.04821.
[15] B. Ripley,et al. Robust Statistics , 2018, Wiley Series in Probability and Statistics.
[16] Ji Chen,et al. The Seasonality Of Paid Search Effectiveness From A Long Running Field Test , 2016, EC.
[17] James J. Heckman,et al. Identification of Causal Effects Using Instrumental Variables: Comment , 1996 .
[18] J. Tukey,et al. LESS VULNERABLE CONFIDENCE AND SIGNIFICANCE PROCEDURES FOR LOCATION BASED ON A SINGLE SAMPLE : TRIMMING/WINSORIZATION 1 , 2016 .
[19] Brett R. Gordon,et al. A Comparison of Approaches to Advertising Measurement: Evidence from Big Field Experiments at Facebook , 2018, Mark. Sci..
[20] Justin M. Rao,et al. The Unfavorable Economics of Measuring the Returns to Advertising , 2014 .
[21] Sören R. Künzel,et al. Metalearners for estimating heterogeneous treatment effects using machine learning , 2017, Proceedings of the National Academy of Sciences.
[22] Kirthi Kalyanam,et al. Cross channel effects of search engine advertising on brick & mortar retail sales: Meta analysis of large scale field experiments on Google.com , 2018 .
[23] S. Geer. Empirical Processes in M-Estimation , 2000 .
[24] Randall A. Lewis,et al. Ghost Ads: Improving the Economics of Measuring Online Ad Effectiveness , 2017 .
[25] Peng Wang,et al. Estimating Ad Effectiveness using Geo Experiments in a Time-Based Regression Framework , 2017 .
[26] D. Rubin. [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies , 1990 .
[27] Hal R Varian,et al. Causal inference in economics and marketing , 2016, Proceedings of the National Academy of Sciences.
[28] Mike Perry,et al. Bias Correction For Paid Search In Media Mix Modeling , 2018, 1807.03292.
[29] Steven Tadelis,et al. Consumer Heterogeneity and Paid Search Effectiveness: A Large Scale Field Experiment , 2014 .
[30] David H. Reiley,et al. Here, there, and everywhere: correlated online behaviors can lead to overestimates of the effects of advertising , 2011, WWW.
[31] Jordi Forné,et al. Online advertising: Analysis of privacy threats and protection approaches , 2017, Comput. Commun..
[32] C. Blumberg. Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction , 2016 .
[33] Peter Hall,et al. Large sample properties of Jaeckel's adaptive trimmed mean , 1981 .
[34] R. Dudley. Central Limit Theorems for Empirical Measures , 1978 .
[35] Stephanie Sapp,et al. Near Impressions for Observational Causal Ad Impact , 2017 .
[36] Dylan S. Small,et al. War and Wages , 2008 .
[37] Jon Vaver,et al. Periodic Measurement of Advertising Effectiveness Using Multiple-Test-Period Geo Experiments , 2012 .
[38] Joshua D. Angrist,et al. Identification of Causal Effects Using Instrumental Variables , 1993 .
[39] D. Basu. Randomization Analysis of Experimental Data: The Fisher Randomization Test , 1980 .
[40] Louis A. Jaeckel. Some Flexible Estimates of Location , 1971 .
[41] W. Lin,et al. Agnostic notes on regression adjustments to experimental data: Reexamining Freedman's critique , 2012, 1208.2301.
[42] C. Rothe. Robust Confidence Intervals for Average Treatment Effects Under Limited Overlap , 2017, SSRN Electronic Journal.