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pro vyhledávání: '"Hansen, Niels"'
Autor:
Hansen, Niels Richard
The Lyapunov equation is a linear matrix equation characterizing the cross-sectional steady-state covariance matrix of a Gaussian Markov process. We show a new version of the trek rule for this equation, which links the graphical structure of the dri
Externí odkaz:
http://arxiv.org/abs/2407.21223
Autor:
Adams, Jeffrey, Hansen, Niels Richard
The deconfounder was proposed as a method for estimating causal parameters in a context with multiple causes and unobserved confounding. It is based on recovery of a latent variable from the observed causes. We disentangle the causal interpretation f
Externí odkaz:
http://arxiv.org/abs/2403.00202
Covariate adjustment is a ubiquitous method used to estimate the average treatment effect (ATE) from observational data. Assuming a known graphical structure of the data generating model, recent results give graphical criteria for optimal adjustment,
Externí odkaz:
http://arxiv.org/abs/2402.12980
Autor:
Hansen, Niels Chr.1,2,3,4 (AUTHOR) nchansen@aias.au.dk, Reymore, Lindsey5,6 (AUTHOR)
Publikováno v:
PLoS ONE. 10/3/2024, Vol. 19 Issue 10, p1-26. 26p.
The recently introduced graphical continuous Lyapunov models provide a new approach to statistical modeling of correlated multivariate data. The models view each observation as a one-time cross-sectional snapshot of a multivariate dynamic process in
Externí odkaz:
http://arxiv.org/abs/2209.03835