Pages that link to "Item:Q1305776"
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The following pages link to A Bayesian multidimensional scaling procedure for the spatial analysis of revealed choice data (Q1305776):
Displaying 11 items.
- A new heterogeneous multidimensional unfolding procedure (Q418407) (← links)
- A hierarchical Bayesian multidimensional scaling methodology for accommodating both structural and preference heterogeneity (Q477959) (← links)
- A Bayesian multi-level factor analytic model of consumer price sensitivities across categories (Q603172) (← links)
- A Bayesian multinomial probit model for the analysis of panel choice data (Q736437) (← links)
- A Bayesian vector multidimensional scaling procedure incorporating dimension reparameterization with variable selection (Q906052) (← links)
- A Bayesian approach to the spatial representation of market structure from consumer choice data (Q1806808) (← links)
- Bayesian mitigation of spatial coarsening for a Hawkes model applied to gunfire, wildfire and viral contagion (Q2135384) (← links)
- Detecting price thresholds in choice models using a semi-parametric approach (Q2454361) (← links)
- An MCMC Approach to Estimating the Wandering Ideal Point Model for “pick any/n” Type of Binary Data (Q3107194) (← links)
- Multinomial probit estimation without nuisance parameters (Q4416018) (← links)
- Massive Parallelization Boosts Big Bayesian Multidimensional Scaling (Q5066411) (← links)
