Efficient Variance Identification for Sparse Factor Analysis

Darjus Hosszejni^*
, Sylvia Frühwirth-Schnatter

^*Corresponding author for this work

Institute for Statistics and Mathematics

Publication: Contribution to conference › Conference poster

99 Downloads (Pure)

Original language	English
Publication status	Published - 2022

Austrian Classification of Fields of Science and Technology (ÖFOS)

101
101018 Statistics
502025 Econometrics

Access to Document

varide-posterFinal published version, 304 KBLicence: CC BY

1 Working Paper/Preprint

Cover It Up! Bipartite Graphs Uncover Identifiability in Sparse Factor Analysis
Hosszejni, D. & Frühwirth-Schnatter, S., 1 Nov 2022, p. 1-20, 20 p.
Publication: Working/Discussion Paper › Working Paper/Preprint

Open Access

2 Science to science

Econometric Identification in Latent Factor Analysis
Hosszejni, D. (Speaker) & Frühwirth-Schnatter, S. (Contributor)
8 Sept 2022 → 9 Sept 2022
Activity: Talk or presentation › Science to science
On Statistical Inference in Factor Analysis: Polynomial-Time Verification of the Anderson-Rubin Condition
Hosszejni, D. (Speaker) & Frühwirth-Schnatter, S. (Contributor)
26 Jun 2022 → 1 Jul 2022
Activity: Talk or presentation › Science to science

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