Computational advancements and application of Bayesian techniques in marketing
Year of publication: |
2023
|
---|---|
Authors: | Srivastava, Richa ; Sanjeev, M. A. |
Published in: |
Technology, management and business : evolving perspectives. - Bingley, U.K. : Emerald Publishing Limited, ISBN 978-1-80455-520-0. - 2023, p. 189-200
|
Subject: | Consumer decision-making | heterogeneity | modelling | Bayesian inference | prior distribution | posterior distribution | Markov chain Monte Carlo | Bayes-Statistik | Markov-Kette | Markov chain | Theorie | Theory | Monte-Carlo-Simulation | Monte Carlo simulation | Wahrscheinlichkeitsrechnung | Probability theory | Konsumentenverhalten | Consumer behaviour |
-
Chapter 1 Bayesian Forecasting
Geweke, John, (2006)
-
Probability models and robust policy rules
Levine, Paul, (2012)
-
Speeding up MCMC by efficient data subsampling
Quiroz, Matias, (2015)
- More ...
-
A fuzzy approach to determining antecedents to green cosmetic consumption in India
Srivastava, Richa, (2024)
-
Sanjeev, M. A., (2016)
-
Sanjeev, M. A., (2017)
- More ...