Determining the number of factors in high-dimensional generalized latent factor models

HIGHLIGHTS

• who: Biometrika from the DepartmentUniversity of have published the Article: Determining the number of factors in high-dimensional generalized latent factor models, in the Journal: (JOURNAL)
• what: The authors evaluate the proposed method by a simulation study and an application to Eysenck's personality questionnaire. The authors provide further explanations on the requirements of u(n, N, J, K)=o{σK2 * +1 (M * )} and N ∨ J=o u(n, N, J, K). To obtain a relatively simple loading structure, the authors investigate the three-factor model using the oblimin method, one of the most popular . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.