Update make_model_priors.jl

Author: SamuelBrand1

pipeline/src/constructors/make_model_priors.jl

@@ -8,16 +8,18 @@ parameters. This is the default method.
 # Returns
 A dictionary containing the following prior distributions:
 - `"transformed_process_init_prior"`: A normal distribution with mean 0.0 and
-standard deviation 0.25.
-- `"std_prior"`: A half-normal distribution with standard deviation 0.25.
-- `"damp_param_prior"`: A beta distribution with shape parameters 0.5 and 0.5.
+standard deviation 0.025.
+- `"std_prior"`: A half-normal distribution with standard deviation 0.025.
+- `"damp_param_prior"`: A beta distribution with shape parameters 1 and 9.
+- `"log_I0_prior"`: A normal distribution with mean log(100.0) and standard
+deviation 1e-1.
 
 """
 function make_model_priors(pipeline::AbstractEpiAwarePipeline)
     transformed_process_init_prior = Normal(0.0, 0.25)
-    std_prior = HalfNormal(0.25)
-    damp_param_prior = Beta(0.5, 0.5)
-    log_I0_prior = Normal(log(100.0), 1e-5)
+    std_prior = HalfNormal(0.025)
+    damp_param_prior = Beta(1, 9)
+    log_I0_prior = Normal(log(100.0), 1e-1)
 
     return Dict(
         "transformed_process_init_prior" => transformed_process_init_prior,