Causal Discovery in the Presence of Measurement Error: Identifiability Conditions

Characterization Problems in Mathematical Statistics

Kagan, A. M., Linnik, Y. V., and Rao, C. R · 1973

Earlier work this paper cites.

An introduction to latent variable models

Everitt, B. S · 1984

Earlier work this paper cites.

Identifiability of factor analysis: Some results and open problems

Shapiro, A · 1985

Earlier work this paper cites.

Generic global indentification in factor analysis

Bekker, P. A. and ten Berge, J. M. F · 1997

Earlier work this paper cites.

Causality: Models, Reasoning, and Inference

Pearl, J · 2000

Earlier work this paper cites.

Causation, Prediction, and Search

Spirtes, P., Glymour, C., and Scheines, R · 2001

Cited alongside, same era.

Optimal structure identification with greedy search

Chickering, D. M · 2002

Cited alongside, same era.

Identifiability, separability, and uniqueness of linear ICA models

Eriksson, J. and Koivunen, V · 2004

Cited alongside, same era.

Learning bayesian networks in semi-deterministic systems

Luo, W · 2006

Cited alongside, same era.

A linear non-Gaussian acyclic model for causal discovery

Shimizu, S., Hoyer, P.O., Hyvärinen, A., and Kerminen, A.J · 2006

Cited alongside, same era.

Causal clustering for 2-factor measurement models

Kummerfeld, E., Ramsey, J., Yang, R., Spirtes, P., and Scheines, R

Cited in the paper.

Learning the structure of linear latent variable models

Silva, R., Scheines, R., Glymour, C., and Spirtes, P · 2006

Later among the works it cites.

Learning the structure of deterministic systems

Glymour, C · 2007

Later among the works it cites.

Directlingam: Adirect method for learning a linear non-gaussian structural equation model

Shimizu, S., Inazumi, T., Sogawa, Y., Hyvärinen, A., Kawahara, Y., Washio, T., Hoyer, P. O., and Bollen, K · 2011

Later among the works it cites.

Measurement error and causal discovery

Scheines, R. and Ramsey, J · 2017

Closest in time.