Explores causal discovery using latent variable models, emphasizing the challenges and solutions in inferring causal relationships from non-Gaussian data.
Explores deriving bounds for causal effects using sensitivity parameters on the risk difference scale, addressing limitations and proposing new approaches.
Delves into causality in an indeterministic world, challenging traditional views and exploring the implications of quantum physics on randomness and reality.
