Photo of Maurits Kaptein

Maurits Kaptein, PDEng

prof.dr.

  • Prof. Cobbenhagenlaan 225, Simon Building, room S 706

    5037 DB Tilburg

    Netherlands

20072018
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Personal profile

Research interests

Maurits Kaptein inverstigates statistics, data science, personalization, online learning, persuasion, and marketing.

Current courses

Click here for my courses.

External positions

Consulting (De Verhalenmarkt)

1 Mar 2017 → …

Keywords

  • Big Data Analytics
  • Data Mining
  • Marketing Communication

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Marketing Engineering & Materials Science
Multilevel Models Mathematics
Maximum likelihood estimation Engineering & Materials Science
Communication Engineering & Materials Science
Intercept Mathematics
Electronic mail Engineering & Materials Science
Data Streams Mathematics
Streaming Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2007 2018

Automated adaptive selling

Kaptein, M., McFarland, R. & Parvinen, P., 2018, In : European Journal of Marketing. 52, 5/6, p. 1037-1059

Research output: Contribution to journal › Article › Scientific › peer-review

Adaptive selling
Electronic commerce
Retailers
Influence tactics
Click-through rate

Computational personalization: Data science methods for personalized health

Kaptein, M. C., 2018, Tilburg Unuiversity. 36 p.

Research output: Book/Report › Book › Scientific

contextual: Evaluating contextual multi-armed bandit problems in R

Emden, R. V. & Kaptein, M., 6 Nov 2018, arXiv.org, 55 p. (arXiv).

Research output: Working paper › Other research output

File
Finance
Medicine
Marketing

Customizing persuasive messages: The value of operative measures

Kaptein, M. C., 2018, In : Journal of Consumer Marketing. 35, 2, p. 208-217

Research output: Contribution to journal › Article › Scientific › peer-review

Customer behavior
Prediction
Out-of-sample forecasting
Psychographics
Customization

Maximum likelihood estimation of a finite mixture of logistic regression models in a continuous data stream

Kaptein, M. & Ketelaar, P., 28 Feb 2018, arXiv.org, 32 p. (arXiv).

Research output: Working paper › Other research output

File
Maximum likelihood estimation
Logistics
Marketing
Computer simulation