diff --git a/EpiAware/src/latent-processes.jl b/EpiAware/src/latent-processes.jl
index eda5df082..eabf12ec8 100644
--- a/EpiAware/src/latent-processes.jl
+++ b/EpiAware/src/latent-processes.jl
@@ -1,8 +1,8 @@
 function default_rw_priors()
     return (
-        var_RW_prior = truncated(Normal(0.0, 0.05), 0.0, Inf),
-        init_rw_value_prior = Normal()
-    )
+        :var_RW_prior => truncated(Normal(0.0, 0.05), 0.0, Inf),
+        :init_rw_value_prior => Normal()
+    ) |> Dict
 end
 
 @model function random_walk(n; var_RW_prior, init_rw_value_prior)
@@ -29,9 +29,9 @@ A struct representing a latent process with its priors.
 - `latent_process_priors`: NamedTuple containing the priors for the latent process.
 
 """
-struct LatentProcess{F <: Function}
+struct LatentProcess{F <: Function, D <: Distribution}
     latent_process::F
-    latent_process_priors::NamedTuple
+    latent_process_priors::Dict{Symbol, D}
 end
 
 """
diff --git a/EpiAware/src/observation-processes.jl b/EpiAware/src/observation-processes.jl
index cc5528d13..023c67dcc 100644
--- a/EpiAware/src/observation-processes.jl
+++ b/EpiAware/src/observation-processes.jl
@@ -1,5 +1,5 @@
 function default_delay_obs_priors()
-    return (neg_bin_cluster_factor_prior = Gamma(3, 0.05 / 3),)
+    return (:neg_bin_cluster_factor_prior => Gamma(3, 0.05 / 3),) |> Dict
 end
 
 @model function delay_observations(
@@ -23,18 +23,18 @@ end
 end
 
 """
-    struct ObservationModel{F<:Function}
+    struct ObservationModel{F <: Function, D<:Distribution}
 
-A struct representing an observation model with its priors.
+A struct representing an observation model.
 
 # Fields
-- `observation_model`: The observation model function for a `Turing` model.
-- `observation_model_priors`: NamedTuple containing the priors for the observation model.
+- `observation_model`: The observation model function.
+- `observation_model_priors`: A dictionary of prior distributions for the observation model parameters.
 
 """
-struct ObservationModel{F <: Function}
+struct ObservationModel{F <: Function, D <: Distribution}
     observation_model::F
-    observation_model_priors::NamedTuple
+    observation_model_priors::Dict{Symbol, D}
 end
 
 """
diff --git a/EpiAware/test/test_latent-processes.jl b/EpiAware/test/test_latent-processes.jl
index 208574557..9177ada74 100644
--- a/EpiAware/test/test_latent-processes.jl
+++ b/EpiAware/test/test_latent-processes.jl
@@ -27,13 +27,13 @@ end
 @testitem "Testing default_rw_priors" begin
     @testset "var_RW_prior" begin
         priors = default_rw_priors()
-        var_RW = rand(priors.var_RW_prior)
+        var_RW = rand(priors[:var_RW_prior])
         @test var_RW >= 0.0
     end
 
     @testset "init_rw_value_prior" begin
         priors = default_rw_priors()
-        init_rw_value = rand(priors.init_rw_value_prior)
+        init_rw_value = rand(priors[:init_rw_value_prior])
         @test typeof(init_rw_value) == Float64
     end
 end
diff --git a/EpiAware/test/test_models.jl b/EpiAware/test/test_models.jl
index 61e56b2e3..14ea43345 100644
--- a/EpiAware/test/test_models.jl
+++ b/EpiAware/test/test_models.jl
@@ -59,7 +59,6 @@ end
     # Define test inputs
     y_t = missing # Data will be generated from the model
     data = EpiData([0.2, 0.3, 0.5], [0.1, 0.4, 0.5], 0.8, 10, exp)
-    process_priors = merge(default_rw_priors(), default_delay_obs_priors())
     pos_shift = 1e-6
 
     epimodel = Renewal(data)