A random coefficients mixture hidden Markov model for marketing research
Year of publication: |
September 2018
|
---|---|
Authors: | Kappe, Eelco ; Stadler Blank, Ashley ; DeSarbo, Wayne |
Published in: |
International journal of research in marketing : IJRM ; official journal of the European Marketing Academy. - Amsterdam : Elsevier, ISSN 0167-8116, ZDB-ID 622691-7. - Vol. 35.2018, 3, p. 415-431
|
Subject: | Hidden Markov model | Time-varying effects | Unobserved heterogeneity | Attendance demand model | Major League Baseball | Markov-Kette | Markov chain | Theorie | Theory | Profisport | Professional sports | Marktforschung | Market research | Stochastischer Prozess | Stochastic process | Schätzung | Estimation |
-
A smooth transition finite mixture model for accommodating unobserved heterogeneity
Kappe, Eelco, (2020)
-
Soccer as a Markov process : modelling and estimation of the zonal variation of team strengths
Hirotsu, Nobuyoshi, (2023)
-
Hidden Markov model for stock selection
Nguyen, Nguyet, (2015)
- More ...
-
A general multiple distributed lag framework for estimating the dynamic effects of promotions
Kappe, Eelco, (2014)
-
Constrained Stochastic Extended Redundancy Analysis
DeSarbo, Wayne S., (2016)
-
A smooth transition finite mixture model for accommodating unobserved heterogeneity
Kappe, Eelco, (2020)
- More ...