Update case_studies/model_comparison/sir_seir.ipynb

Co-authored-by: Radka Jersakova <rjersakova@turing.ac.uk>

Author: SyedHaider2084

case_studies/model_comparison/sir_seir.ipynb

@@ -271,7 +271,6 @@
     "\n",
     "**Interpreting the Results:** Because our ground truth data was generated with an incubation rate ($\\sigma = 0.2$), you might expect a strong preference for the SEIR model. However, because this is a toy problem relying strictly on a single data point type (peak infection rate), there is not enough information to break the geometric degeneracy between the parameters. Consequently, you will likely see a Bayes Factor indicating only **weak evidence** in favor of either model. \n",
     "\n",
-    "This beautifully illustrates the concept of Bayesian model comparison: the evidence inherently penalizes the SEIR model's extra complexity because the simple peak infection data is not rich enough to justify the additional parameter over the prior volume."
    ]
   },
   {