Advanced Marketing Decision Models


Aims

Advanced Marketing Decision Model is an intensive, in-depth, hands-on graduate course focusing on key types of marketing decision models. The overall goal of the course is to provide students with an in-depth insight into a wide array of areas of marketing decision models. For each domain discussed, our focus spans the entire research process including research problem definition, conceptual development, model specification, data collocation, coding and results reporting.

Information

•             Economic approach to network theory

•             Mathematical modeling of consumer behavior

•             Multiarm bandit problems in marketing

•             Model selection

•             Using Bayesian methods for behavioral decision models

•             Bayesian learning models

Assessment

Students will be evaluated based on attendance, class participation and assignments.

Materials

Academic papers and/or book chapters will be assigned for each session.

Additional info

Prerequisites:

Students are expected to have working knowledge of Matlab and R.

Students should have thorough knowledge of linear regression.

Computer Requirements:

Students need to be equipped with laptops with Matlab and R installed. 10GB of free drive and 4GB of RAM will be sufficient for the course.

The timetable for this course can be found in the EUR course guide.

ERIM PhD candidates and Research Master students can register for this course via Osiris Student.

External (non-ERIM) participants are welcome to this course. To register, please fill in the registration form and e-mail it to the ERIM Doctoral Office by four weeks prior to the start of the course. For external participants, the course fee is 260 euro per ECTS credit.