Regularizing threshold priors with sparse response patterns in Bayesian factor analysis with categorical indicators.

Authors

Grant B. Morgan (ORCID: https://orcid.org/0000-0002-3077-4643)
R. Noah Padgett (ORCID: https://orcid.org/0000-0002-9114-3896)
Tim Lomas (ORCID: https://orcid.org/0000-0001-9458-6185)

Institutions

Harvard University (US)
Baylor University (US)
Quantitative BioSciences (US)

Publication Details

Journal: Psychological Methods
Published: 2024-12-30
DOI: https://doi.org/10.1037/met0000682
Citations: 1
Primary Topic: Face and Expression Recognition
Type: article
Field-Weighted Citation Impact: 0.25

Funders

Harvard University

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article

Regularizing threshold priors with sparse response patterns in Bayesian factor analysis with categorical indicators.

Grant B. Morgan, R. Noah Padgett, Tim Lomas

Dec 30, 2024

1 citations

Psychological Methods

Face and Expression Recognition

0.25

article

Regularizing threshold priors with sparse response patterns in Bayesian factor analysis with categorical indicators.

Grant B. Morgan, R. Noah Padgett, Tim Lomas

December 30, 2024article en

1 citations

Abstract

No abstract available for this paper.

Psychological Methods

Harvard University (US), Baylor University (US), Quantitative BioSciences (US)

Harvard University

Climate action

Openalex Percentile: Top 43%

Face and Expression Recognition

0.25

DOI Source OpenAlex

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