From Preserving the Past to Preserving the Future: The Data-PASS Project and the Challenges of Preserving Digital Social Science Data. - Myron P. Gutmann; Mark Abrahamson; Margaret O. Adams; Micah Altman; Caroline Arms; Kenneth Bollen; Michael Carlson; Jonathan David Crabtree; Darrell Donakowski; Gary King; Jared Lyle; Marc Maynard; et al. (Libr. Trends, 2009)

GroupLiNGAM: Linear non-Gaussian acyclic models for sets of variables - Yoshinobu Kawahara; Kenneth Bollen; Shohei Shimizu; Takashi Washio (CoRR, 2010)

DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model. - Shohei Shimizu; Takanori Inazumi; Yasuhiro Sogawa; Aapo Hyvärinen; Yoshinobu Kawahara; Takashi Washio; Patrik O. Hoyer; Kenneth Bollen (J. Mach. Learn. Res., 2011)

Bayesian estimation of causal direction in acyclic structural equation models with individual-specific confounder variables and non-Gaussian distributions. - Shohei Shimizu; Kenneth Bollen (J. Mach. Learn. Res., 2014)

Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models. - Ankur Ankan; Inge M. N. Wortel; Kenneth Bollen; Johannes Textor (AISTATS, 2023)