Flexible mixture-amount models using multivariate Gaussian processes
Aiste Ruseckaite, Dennis Fok, Peter Goos
| Year of publication: |
2020
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|---|---|
| Authors: | Ruseckaite, Aiste ; Fok, Dennis ; Goos, Peter |
| Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Abingdon : Taylor & Francis, ISSN 1537-2707, ZDB-ID 2043744-4. - Vol. 38.2020, 2, p. 257-271
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| Subject: | Advertising mix | Gaussian process prior | Mixtures of components | Mixtures of ingredients | Nonparametric Bayes | Bayes-Statistik | Bayesian inference | Statistische Verteilung | Statistical distribution | Theorie | Theory | Nichtparametrisches Verfahren | Nonparametric statistics | Stochastischer Prozess | Stochastic process | Werbung | Advertising | Gauß-Prozess | Gaussian process |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/07350015.2018.1497506 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012262461