Nonlinear factors in two dimensions

By W. Gibson. 1960

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. S. Reise
2. Rahul G. Krishnan
3. Dawen Liang
4. N. Waller
5. Matthew D. Hoffman
6. A. L. Comrey
7. David M. Blei
8. Stephan Mandt

Citations in the corpus

• On the challenges of learning with inference networks on sparse, high-dimensional data (2017, background): “We study NFA for the density estimation and analysis of sparse , high-dimensional categorical data.”
• Factor analysis and scale revision. (2000, background): “…dichotomous items can lead to the identification of spurious (non-content-based) factors caused by nonlinearities in the relationship between the item and the latent variable (Gibson, 1959, 1960; Gourlay, 1951; Mc- Donald & Ahlawat, 1974; Waller, 1999; Waller, Tellegen, Mc- Donald, & Lykken, 1996).”