A statistical framework is developed to contrast methods used for parameter estimation for a latent variable multivariate regression (LVMR) model. This model involves two sets of variables, X and Y, both with multiple variables and sharing a common latent structure with additive random errors. The m
✦ LIBER ✦
A framework for in-silico formulation design using multivariate latent variable regression methods
✍ Scribed by Mark A. Polizzi; Salvador García-Muñoz
- Book ID
- 113655525
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 844 KB
- Volume
- 418
- Category
- Article
- ISSN
- 0378-5173
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