Bayesian nonparametric dynamic methods : applications to linear and nonlinear advertising models
Norris I. Bruce
| Year of publication: |
2019
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|---|---|
| Authors: | Bruce, Norris I. |
| Published in: |
Journal of marketing research. - Thousand Oaks, CA : Sage Publishing, ISSN 1547-7193, ZDB-ID 2066604-4. - Vol. 56.2019, 2, p. 211-229
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| Subject: | advertising effectiveness | Dirichlet process mixture | hybrid particle filter | non-Gaussian kernel | particle filter | Rao-Blackwellized particle filter | Theorie | Theory | Monte-Carlo-Simulation | Monte Carlo simulation | Bayes-Statistik | Bayesian inference | Zeitreihenanalyse | Time series analysis | Werbung | Advertising | Werbewirkung | Advertising effects | Nichtparametrisches Verfahren | Nonparametric statistics | Nichtlineare Regression | Nonlinear regression | Zustandsraummodell | State space model | Markov-Kette | Markov chain |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1177/0022243718810524 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012177302