Conference paper
Learning Reduced Order Dynamics via Geometric Representations
Imran Nasim, Melanie Weber
SCML 2024
Two moment-based model-fitting procedures for the heteroscedastic factor analysis model are introduced and compared. The procedures produce consistent parameter estimators and asymptotically valid inferences for heteroscedasticity without specifying the distributional forms for the factor and heteroscedastic errors. Also, an individual-specific inference procedure for the factor score is developed. Simulation studies show the practical usefulness of the procedures. An example from a morphological measurement study is described.
Imran Nasim, Melanie Weber
SCML 2024
D.S. Turaga, K. Ratakonda, et al.
SCC 2006
Simeon Furrer, Dirk Dahlhaus
ISIT 2005
Arnon Amir, Michael Lindenbaum
IEEE Transactions on Pattern Analysis and Machine Intelligence