Commit 1cda234f authored by Martin Reinecke's avatar Martin Reinecke

typo

parent eba1fd40
Pipeline #43713 passed with stages
in 8 minutes and 9 seconds
......@@ -106,7 +106,7 @@ The demo codes `demos/getting_started_1.py` and `demos/Wiener_Filter.ipynb` illu
Generative Models
-----------------
For more sophisticated measurement situations, involving non-linear measuremnts, unknown covariances, calibration constants and the like, it is recommended to formulate those as generative models for which NIFTy provides powerful inference algorithms.
For more sophisticated measurement situations, involving non-linear measurements, unknown covariances, calibration constants and the like, it is recommended to formulate those as generative models for which NIFTy provides powerful inference algorithms.
In a generative model, all known or unknown quantities are described as the results of generative processes, which start with simple probability distributions, like the uniform, the i.i.d. Gaussian, or the delta distribution.
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment