update replication studies

CDCgov · Dec 9, 2024 · c2f65d6 · c2f65d6
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diff --git a/EpiAware/docs/src/showcase/replications/chatzilena-2019/index.jl b/EpiAware/docs/src/showcase/replications/chatzilena-2019/index.jl
@@ -428,8 +428,8 @@ We define the AR(1) process by matching means of `HalfNormal` prior distribution
 # ╔═╡ 71a26408-1c26-46cf-bc72-c6ba528dfadd
 ar = AR(
     damp_priors = [HalfNormal(mean(sampled_AR_damps))],
-    std_prior = HalfNormal(mean(sampled_AR_stds)),
-    init_priors = [Normal(0, 0.001)]
+    init_priors = [Normal(0, 0.001)],
+    ϵ_t = HierarchicalNormal(std_prior = HalfNormal(mean(sampled_AR_stds)))
 )
 
 # ╔═╡ e1ffdaf6-ca2e-405d-8355-0d8848d005b0

diff --git a/EpiAware/docs/src/showcase/replications/mishra-2020/index.jl b/EpiAware/docs/src/showcase/replications/mishra-2020/index.jl
@@ -114,10 +114,10 @@ In _Mishra et al_ the standard deviation of the _stationary distribution_ of $Z_
 
 # ╔═╡ c88bbbd6-0101-4c04-97c9-c5887ef23999
 ar = AR(
-    damp_priors = reverse([truncated(Normal(0.8, 0.05), 0, 1),
-        truncated(Normal(0.1, 0.05), 0, 1)]),
-    std_prior = HalfNormal(0.5),
-    init_priors = [Normal(-1.0, 0.1), Normal(-1.0, 0.5)]
+    damp_priors = [truncated(Normal(0.1, 0.05), 0, 1),
+        truncated(Normal(0.8, 0.05), 0, 1)],
+    init_priors = [Normal(-1.0, 0.1), Normal(-1.0, 0.5)],
+    ϵ_t = HierarchicalNormal(std_prior = HalfNormal(0.5))
 )
 
 # ╔═╡ 31ee2757-0409-45df-b193-60c552797a3d