# On causally asymmetric versions of Occam's Razor and their relation to thermodynamics

@article{Janzing2007OnCA, title={On causally asymmetric versions of Occam's Razor and their relation to thermodynamics}, author={D. Janzing}, journal={arXiv: Statistical Mechanics}, year={2007} }

In real-life statistical data, it seems that conditional probabilities for the effect given their causes tend to be less complex and smoother than conditionals for causes, given their effects. We have recently proposed and tested methods for causal inference in machine learning using a formalization of this principle.
Here we try to provide some theoretical justification for causal inference methods based upon such a ``causally asymmetric'' interpretation of Occam's Razor. To this end, we… Expand

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