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Printable Handouts
Navigable Slide Index
- Introduction
- Panel structure data
- Heterogeneity and priors (1)
- Heterogeneity and priors (2)
- Marginalizing the likelihood
- Principle number 1
- Hierarchical Linear Model
- Priors
- GS for the Hierarchical Linear Model
- Adaptive shrinkage
- An example - key account data (1)
- An example - key account data (2)
- Shrinkage
- Principle number 2
- Heterogeneous logit model
- Heterogeneous logit model - priors
- Drawing beta-h
- Random effects with regressors
- Heterogeneous logit - rhierBinLogit
- Heterogeneous logit - log likelihood
- Heterogeneous logit - storage for draws
- Heterogeneous logit - time
- Heterogeneous logit - generating draws of beta
- Heterogeneous logit - rmultiregfp
- Heterogeneous logit - keeping the draws
- Running rhierBinLogit (1)
- Running rhierBinLogit (2)
- Principle number 3
- The bank study - data (1)
- The bank study - data (2)
- Sample observations
- Sample demographics
- Trace plot - average respondent part-worths
- V beta draws
- Posterior log likelihood
- Rejection rate of Metropolis-Hastings algorithm
- Distribution of heterogeneity for some part-worths
- Part-worth distribution (respondent 250)
- Extensions
- Summary
Topics Covered
- Panel structure data
- Heterogeneity and priors
- Hierarchical linear model
- Priors
- Adaptive shrinkage
- Heterogeneous logit model
- Random effects with regressors
- Heterogeneous logit
- Running rhierBinLogit
- Data(bank)
- Sample observations
- Distribution of heterogeneity for selected part-worths
- Extensions
Talk Citation
Allenby, G.M. (2010, January 27). Heterogeneity [Video file]. In The Business & Management Collection, Henry Stewart Talks. Retrieved November 14, 2024, from https://doi.org/10.69645/XQKN1862.Export Citation (RIS)