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Bayesian exploratory factor analysis

Citations

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Cited by:

  1. Sung, Bongjung & Lee, Jaeyong, 2023. "Covariance structure estimation with Laplace approximation," Journal of Multivariate Analysis, Elsevier, vol. 198(C).
  2. Luca Marcolin & Mariagrazia Squicciarini, 2018. "Investing in Innovation and Skills: Thriving through Global Value Chains," Review of Economics and Institutions, Università di Perugia, vol. 9(1).
  3. Eshaghnia, Sadegh S. M. & Heckman, James J., 2023. "Intergenerational Transmission of Inequality: Maternal Endowments, Investments, and Birth Outcomes," IZA Discussion Papers 16492, Institute of Labor Economics (IZA).
  4. Attanasio, Orazio & Blundell, Richard & Conti, Gabriella & Mason, Giacomo, 2020. "Inequality in socio-emotional skills: A cross-cohort comparison," Journal of Public Economics, Elsevier, vol. 191(C).
  5. Klaus Wälde, 2015. "Stress and Coping - An Economic Approach," LIDAM Discussion Papers IRES 2015018, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
  6. Kaufmann, Sylvia & Schumacher, Christian, 2019. "Bayesian estimation of sparse dynamic factor models with order-independent and ex-post mode identification," Journal of Econometrics, Elsevier, vol. 210(1), pages 116-134.
  7. Simon Beyeler & Sylvia Kaufmann, 2016. "Factor augmented VAR revisited - A sparse dynamic factor model approach," Working Papers 16.08, Swiss National Bank, Study Center Gerzensee.
  8. Piotr Hadrian & František Milichovský & Pavel Mráček, 2021. "The Concept of Strategic Control in Marketing Management in Connection to Measuring Marketing Performance," Sustainability, MDPI, vol. 13(7), pages 1-21, April.
  9. Mike Farjam, 2015. "On whom would I want to depend; Humans or nature?," Jena Economics Research Papers 2015-019, Friedrich-Schiller-University Jena.
  10. Sylvia Frühwirth-Schnatter & Darjus Hosszejni & Hedibert Freitas Lopes, 2023. "When It Counts—Econometric Identification of the Basic Factor Model Based on GLT Structures," Econometrics, MDPI, vol. 11(4), pages 1-30, November.
  11. Klaus Wälde, 2016. "Emotion Research in Economics," Working Papers 1611, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
  12. Gabriella Conti & James J. Heckman, 2012. "The Economics of Child Well-Being," NBER Working Papers 18466, National Bureau of Economic Research, Inc.
  13. Xianhua Dai & Wolfgang Karl Härdle & Keming Yu, 2016. "Do maternal health problems influence child's worrying status? Evidence from the British Cohort Study," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(16), pages 2941-2955, December.
  14. Adrian Quintero & Emmanuel Lesaffre & Geert Verbeke, 2024. "Bayesian Exploratory Factor Analysis via Gibbs Sampling," Journal of Educational and Behavioral Statistics, , vol. 49(1), pages 121-142, February.
  15. Leung, Dennis & Drton, Mathias, 2016. "Order-invariant prior specification in Bayesian factor analysis," Statistics & Probability Letters, Elsevier, vol. 111(C), pages 60-66.
  16. Gabriella Conti, 2013. "The Developmental Origins of Health Inequality," Research on Economic Inequality, in: Health and Inequality, volume 21, pages 285-309, Emerald Group Publishing Limited.
  17. Aßmann, Christian & Boysen-Hogrefe, Jens & Pape, Markus, 2016. "Bayesian analysis of static and dynamic factor models: An ex-post approach towards the rotation problem," Journal of Econometrics, Elsevier, vol. 192(1), pages 190-206.
  18. Hauber, Philipp & Schumacher, Christian, 2021. "Precision-based sampling with missing observations: A factor model application," Discussion Papers 11/2021, Deutsche Bundesbank.
  19. Jana Hornungová & František Milichovský, 2018. "Agricultural Sector Performance Evaluation in Terms of Financial Indicators: A Comparison of Czech Republic, Slovakia and Western Balkan States," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 66(2), pages 497-507.
  20. Wagner, Helga & Frühwirth-Schnatter, Sylvia & Jacobi, Liana, 2023. "Factor-augmented Bayesian treatment effects models for panel outcomes," Econometrics and Statistics, Elsevier, vol. 28(C), pages 63-80.
  21. Benjamin Williams, 2018. "Identification of the Linear Factor Model," Working Papers 2018-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
  22. Eric Gielen & Gabriel Riutort-Mayol & José Sergio Palencia-Jiménez & Isidro Cantarino, 2018. "An urban sprawl index based on multivariate and Bayesian factor analysis with application at the municipality level in Valencia," Environment and Planning B, , vol. 45(5), pages 888-914, September.
  23. Sylvia Fruhwirth-Schnatter, 2023. "Generalized Cumulative Shrinkage Process Priors with Applications to Sparse Bayesian Factor Analysis," Papers 2303.00473, arXiv.org.
  24. Papastamoulis, Panagiotis, 2018. "Overfitting Bayesian mixtures of factor analyzers with an unknown number of components," Computational Statistics & Data Analysis, Elsevier, vol. 124(C), pages 220-234.
  25. John B. Holmes & Matthew R. Schofield & Richard J. Barker, 2022. "Pólya‐gamma data augmentation and latent variable models for multivariate binomial data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(1), pages 194-218, January.
  26. Christopher E.S. WARBURTON & Emerson A. JACKSON, 2023. "The Econometrics of Factor Loadings and Implications for Monetary Policy in a Small Open Economy (2005- 2020) – Sierra Leone," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 10(1), pages 19-35, January.
  27. Mohsen Maleki & Darren Wraith, 2019. "Mixtures of multivariate restricted skew-normal factor analyzer models in a Bayesian framework," Computational Statistics, Springer, vol. 34(3), pages 1039-1053, September.
  28. Simon Beyeler & Sylvia Kaufmann, 2021. "Reduced‐form factor augmented VAR—Exploiting sparsity to include meaningful factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 989-1012, November.
  29. Darjus Hosszejni & Sylvia Fruhwirth-Schnatter, 2022. "Cover It Up! Bipartite Graphs Uncover Identifiability in Sparse Factor Analysis," Papers 2211.00671, arXiv.org, revised Feb 2025.
  30. Rémi Piatek & Pia Pinger, 2016. "Maintaining (Locus of) Control? Data Combination for the Identification and Inference of Factor Structure Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(4), pages 734-755, June.
  31. Del Bono, Emilia & Etheridge, Ben & Garcia, Paul, 2024. "The economic value of childhood socio-emotional skills," ISER Working Paper Series 2024-01, Institute for Social and Economic Research.
  32. Aruna Apte & Marigee Bacolod & Ryan Carmichael, 2020. "Tradeoffs among Attributes of Resources in Humanitarian Operations: Evidence from United States Navy," Production and Operations Management, Production and Operations Management Society, vol. 29(4), pages 1071-1090, April.
  33. Gregory Camilli & Jean-Paul Fox, 2015. "An Aggregate IRT Procedure for Exploratory Factor Analysis," Journal of Educational and Behavioral Statistics, , vol. 40(4), pages 377-401, August.
  34. Mareckova, Jana & Pohlmeier, Winfried, 2017. "Noncognitive Skills and Labor Market Outcomes: A Machine Learning Approach," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168195, Verein für Socialpolitik / German Economic Association.
  35. Gregor Kastner & Sylvia Fruhwirth-Schnatter & Hedibert Freitas Lopes, 2016. "Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility Models," Papers 1602.08154, arXiv.org, revised Jul 2017.
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