Causality, mediation and time: a dynamic viewpoint
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DOI: j.1467-985X.2011.01030.x
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Cited by:
- Jonas Hallgren & Timo Koski, 2016. "Testing for Causality in Continuous Time Bayesian Network Models of High-Frequency Data," Papers 1601.06651, arXiv.org.
- Guillaume Wunsch & Federica Russo & Michel Mouchart & Renzo Orsi, 2020.
"Time and Causality in the Social Sciences,"
Working Papers
wp1155, Dipartimento Scienze Economiche, Universita' di Bologna.
- Wunsch, Guillaume & Russo, Federica & Mouchart, Michel & Orsi, Renzo, 2021. "Time and causality in the social sciences," LIDAM Reprints ISBA 2021052, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Mouchart, Michel & Orsi, Renzo & Russo, Federica & Wunsch, Guillaume, 2020. "Time and Causality in the Social Sciences," LIDAM Discussion Papers ISBA 2020022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Park, Gunwoong & Kim, Yesool, 2021. "Learning high-dimensional Gaussian linear structural equation models with heterogeneous error variances," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).
- Ørnulf Borgan & Håkon K. Gjessing, 2019. "Special issue dedicated to Odd O. Aalen," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 25(4), pages 587-592, October.
- Francesco Bartolucci & Fulvia Pennoni & Giorgio Vittadini, 2016.
"Causal Latent Markov Model for the Comparison of Multiple Treatments in Observational Longitudinal Studies,"
Journal of Educational and Behavioral Statistics, , vol. 41(2), pages 146-179, April.
- Bartolucci, Francesco & Pennoni, Fulvia & Vittadini, Giorgio, 2015. "Causal latent Markov model for the comparison of multiple treatments in observational longitudinal studies," MPRA Paper 66492, University Library of Munich, Germany.
- Oisín Ryan & Ellen L. Hamaker, 2022. "Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 214-252, March.
- Frans Willekens & James R. Carey & Qiang Li, 2018. "Interdisciplinary Research on Healthy Aging: Introduction," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(10), pages 233-246.
- Vittadini, Giorgio & Sturaro, Caterina & Folloni, Giuseppe, 2022. "Non-Cognitive Skills and Cognitive Skills to measure school efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
- Jonas Peters & Peter Bühlmann & Nicolai Meinshausen, 2016. "Causal inference by using invariant prediction: identification and confidence intervals," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(5), pages 947-1012, November.
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