Nonlinear Latent Structure Analysis

Application of Local Linear Embedding to Nonlinear Exploratory Latent Structure Analysis. Psychometrika, 72, 199-225. (with Hari Iyer)

Here are some movies and graphs for this paper:

3D view of the individual fitted values versus LLE scores in Example 2:

3D view of the individual fitted values versus normalized scores in Example 2:

Education

B.S., Nankai University, Tianjin, China

Ph.D., University of North Carolina, Chapel Hill

Current Research Interests

Object Oriented Data Analysis

Spatial Statistics

Information Fusion

Statistical Analysis on Networks

Computational Neuroscience

Contact Information

216 Statistics Building
Department of Statistics
Colorado State University
Fort Collins, CO80523

Email: wanghn@stat.colostate.edu
Voice: 970-491-2449

Acknowlegement of Support

My research has been supported by NSF grants DMS-0706761, DMS-0854903, DMS-1106975, DMS-1521746, DMS-1737795, DMS-1923142, CNS-1932413 and DMS-2123761 as well as grants with other collaborators.