# Multivariate normal model

## Instructions

1. Run the file `run.py` within the directory `dataset_means` to  get the results with varying dataset means.

2. Run the file `run.py` within the directory `dataset_size` to  get the results with varying dataset size used for the self-consistency loss.

3. Run the file `run.py` within the directory `estimated_likelihood` to  get the results with approximate likelihood used for the self-consistency loss rather than analytic likelihood.

4. Run the file `run.py` within the directory `parameter_dimensionality` to  get the results with varying parameter dimensionality.

5. Run the file `run.py` within the directory `summary_network` to  get the results with a summary network.
