Comparing Latent Structures of the Grade of Membership, Rasch, and Latent Class Models
By Elena A. Erosheva. 2005
63 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/645bc99c43e76ff7e3cb5805993d4c3927b6c578
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
In Management Science and Operations Research
In Statistics and Probability
- Thomas S. Richardson
- James M. Robins
- Stephen E. Fienberg
- Cyrille Joutard
- Elena A. Erosheva
- Eric B. Laber
- Michael R. Kosorok
- Nathan Kallus
Citations in the corpus
- DESCRIBING DISABILITY THROUGH INDIVIDUAL-LEVEL MIXTURE MODELS FOR MULTIVARIATE BINARY DATA. (2007, methodology): “Despite a multitude of published large-scale GoM applications, there are few statistical publications that explore basic GoM properties and provide simple examples of their utility [57], [71], [ 17 ].”
- Analysis of the Binary Instrumental Variable Model (2010, result): “This may be seen as analogous to the geometric study of models for two-way tables [Fienberg and Gilbert 1970; Erosheva 2005].”