Latent structureMultivariate analysis
Bayesian Multidimensional Scaling (BMDS)
Bayesian Multidimensional Scaling places objects in a low-dimensional latent space so that inter-object distances reproduce observed dissimilarities, while a full Bayesian treatment quantifies uncertainty in the coordinates, handles missing proximities naturally, and selects the number of dimensions via model comparison rather than heuristic inspection.
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Sources
- Oh, M.-S. & Raftery, A. E. (2001). Bayesian multidimensional scaling and choice of dimension. Journal of the American Statistical Association, 96(455), 1031–1044. DOI: 10.1198/016214501753208648 ↗
- Multidimensional scaling. Wikipedia. link ↗