An alternating optimization procedure for high-dimensional generalized latent variable models yields consistent estimators and a debiased covariate-effect estimator with asymptotic normality.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Inference on Generalized Latent Variable Models with High-Dimensional Responses and Covariates
An alternating optimization procedure for high-dimensional generalized latent variable models yields consistent estimators and a debiased covariate-effect estimator with asymptotic normality.