From 679af213b27436e633a4868205bd9754eff977f8 Mon Sep 17 00:00:00 2001
From: Samuel Brand <48288458+SamuelBrand1@users.noreply.github.com>
Date: Mon, 9 Dec 2024 09:29:46 +0000
Subject: [PATCH] Update make_model_priors.jl

---
 pipeline/src/constructors/make_model_priors.jl | 14 ++++++++------
 1 file changed, 8 insertions(+), 6 deletions(-)

diff --git a/pipeline/src/constructors/make_model_priors.jl b/pipeline/src/constructors/make_model_priors.jl
index 01348e7e6..88a90cf17 100644
--- a/pipeline/src/constructors/make_model_priors.jl
+++ b/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,