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README.md

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@@ -143,6 +143,12 @@ Gaussian and reliably detects model misspecification during inference time.
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![](docs/source/images/model_misspecification_amortized_sbi.png?raw=true)
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In order to use this method, you should only provide the `summary_loss_fun` argument
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to the `AmortizedPosterior` instance:
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```python
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amortizer = bf.amortizers.AmortizedPosterior(inference_net, summary_net, summary_loss_fun='MMD')
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```
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### References and Further Reading
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- Schmitt, M., Bürkner P. C., Köthe U., & Radev S. T. (2022). Detecting Model
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## Model Comparison
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Coming soon...
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Example coming soon...
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### References and Further Reading
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## Likelihood emulation
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Coming soon...
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Example coming soon...

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