A nonparametric Bayesian analysis of heterogenous treatment effects in digital experimentation
Matt Taddy, Matt Gardner and Liyun Chen, David Draper
| Year of publication: |
October 2016
|
|---|---|
| Authors: | Taddy, Matt ; Gardner, Matt ; Chen, Liyun ; Draper, David |
| Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Alexandria, Va. : American Statistical Association, ISSN 0735-0015, ZDB-ID 876122-X. - Vol. 34.2016, 4, p. 661-672
|
| Subject: | Apache Spark | Average treatment effect (ATE) | Bayesian bootstrap | Big Data | Treatment-covariate interactions | Bayes-Statistik | Bayesian inference | Kausalanalyse | Causality analysis | Nichtparametrisches Verfahren | Nonparametric statistics | Big data | Bootstrap-Verfahren | Bootstrap approach | Theorie | Theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/07350015.2016.1172013 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011692450