Measuring the baseline sales and the promotion effect for incense products: A Bayesian state-space modeling approach

Tomohiro Ando

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

One of the most important research fields in marketing science is the analysis of time series data. This article develops a new method for modeling multivariate time series. The proposed method enables us to measure simultaneously the effectiveness of marketing activities, the baseline sales, and the effects of controllable/uncontrollable business factors. The critical issue in the model construction process is the method for evaluating the usefulness of the predictive models. This problem is investigated from a statistical point of view, and use of the Bayesian predictive information criterion is considered. The proposed method is applied to sales data regarding incense products. The method successfully extracted useful information that may enable managers to plan their marketing strategies more effectively.

Original languageEnglish
Pages (from-to)763-780
Number of pages18
JournalAnnals of the Institute of Statistical Mathematics
Volume60
Issue number4
DOIs
Publication statusPublished - 2008 Dec

Fingerprint

State-space Modeling
Bayesian Modeling
Baseline
Multivariate Time Series
Information Criterion
Predictive Model
Time Series Data
Promotion
Modeling
Marketing

Keywords

  • Bayesian method
  • General state-space models
  • Marketing

ASJC Scopus subject areas

  • Statistics and Probability

Cite this

Measuring the baseline sales and the promotion effect for incense products : A Bayesian state-space modeling approach. / Ando, Tomohiro.

In: Annals of the Institute of Statistical Mathematics, Vol. 60, No. 4, 12.2008, p. 763-780.

Research output: Contribution to journalArticle

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