Towards Clarifying the Theory of the Deconfounder

Population predictive checks

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Ranganath, R. and Blei, D. (2019) · 1908

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The use of the concept of a future observation in goodness-of-fit problems

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Bayesianly justifiable and relevant frequency calculations for the applied statistician

Rubin, D. (1984) · 1984

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Rank, decomposition, and uniqueness for three-way and n-way arrays

Kruskal, J. (1989) · 1989

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Posterior predictive assessment of model fitness via realized discrepancies

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P values for composite null models

Bayarri, M. and Berger, J. O. (2000) · 2000

Cited alongside, same era.

Asymptotic distribution of p values in composite null models

Robins, J., van der Vaart, A., and Ventura, V. (2000) · 2000

Cited alongside, same era.

Identifiability of parameters in latent structure models with many observed variables

Allman, E., Matias, C., and Rhodes, J. (2009) · 2009

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Statistical analysis of factor models of high dimension

Bai, J. and Li, K. (2012) · 2012

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Comment on: “The blessings of multiple causes” by Yixin Wang and David M. Blei

Athey, S., Imbens, G. W., and Pollmann, M. (2019) · 2019

Cited alongside, same era.

The blessings of multiple causes

Wang, Y. and Blei, D. (2019a)

Cited in the paper.

The blessings of multiple causes: Rejoinder

Wang, Y. and Blei, D. (2019b)

Cited in the paper.

Structured latent factor analysis for large-scale data: Identifiability, estimability, and their implications

Chen, Y., Li, X., and Zhang, S. (2019) · 2019

Later among the works it cites.

Comment: Reflections on the deconfounder

D’Amour, A. (2019) · 2019

Later among the works it cites.

Comment: The challenges of multiple causes

Imai, K. and Jiang, Z. (2019) · 2019

Later among the works it cites.

Comment on “blessings of multiple causes”

Ogburn, E., Shpitser, I., and Tchetgen Tchetgen, E. (2019) · 2019

Later among the works it cites.

Counterexamples to "The blessings of multiple causes" by Wang and Blei

Ogburn, E., Shpitser, I., and Tchetgen Tchetgen, E. (2020) · 2020

Closest in time.