55 citations · 208 across the 25 of their papers we have counts for
4 papers · 1 filter
Analysis of cause-effect inference by comparing regression errors
Patrick Blöbaum, Dominik Janzing, Takashi Washio +2
We address the problem of inferring the causal direction between two variables by comparing the least-squares errors of the predictions in both possible directions. Under the assum…
Error Asymmetry in Causal and Anticausal Regression
Patrick Blöbaum, Takashi Washio, Shohei Shimizu
It is generally difficult to make any statements about the expected prediction error in an univariate setting without further knowledge about how the data were generated. Recent wo…
GroupLiNGAM: Linear non-Gaussian acyclic models for sets of variables
Yoshinobu Kawahara, Kenneth Bollen, Shohei Shimizu +1
Finding the structure of a graphical model has been received much attention in many fields. Recently, it is reported that the non-Gaussianity of data enables us to identify the str…
Estimation of linear, non-gaussian causal models in the presence of confounding latent variables
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen
The estimation of linear causal models (also known as structural equation models) from data is a well-known problem which has received much attention in the past. Most previous wor…