Latent variable discovery in classification models
โ Scribed by Nevin L Zhang; Thomas D Nielsen; Finn V Jensen
- Book ID
- 113469375
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 235 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0933-3657
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Psychologists would like to say that a probability distribution on {0,1} n is d-dimensional if (1) the distribution can be represented by some smooth d-dimensional latent variable model and (2) the distribution cannot be represented by any smooth d ร 1 dimensional model. This does not work out becau
Structural equation models with latent variables are used widely in psychometrics, econometrics, and sociology to explore the causal relations among latent variables. Since such models often involve dozens of variables, the number of theoretically feasible alternatives can be astronomical. Without c