diff --git a/Project.toml b/Project.toml
index 5d09e02..a2403ee 100644
--- a/Project.toml
+++ b/Project.toml
@@ -14,7 +14,6 @@ Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 RecursiveArrayTools = "731186ca-8d62-57ce-b412-fbd966d074cd"
 Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
-StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 
@@ -27,7 +26,6 @@ Parameters = "0.12"
 RecursiveArrayTools = "2"
 Reexport = "0.2, 1.0"
 SciMLBase = "1"
-StaticArrays = "1"
 Zygote = "0.6"
 julia = "1.6"
 
@@ -46,9 +44,10 @@ Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 RecursiveArrayTools = "731186ca-8d62-57ce-b412-fbd966d074cd"
 ReferenceTests = "324d217c-45ce-50fc-942e-d289b448e8cf"
 SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
+StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
 SymPy = "24249f21-da20-56a4-8eb1-6a02cf4ae2e6"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 TestExtras = "5ed8adda-3752-4e41-b88a-e8b09835ee3a"
 
 [targets]
-test = ["Test", "SafeTestsets", "TestExtras", "Pkg", "PkgBenchmark", "BenchmarkTools", "ReferenceTests", "SymPy", "Random", "OrdinaryDiffEq", "ComponentArrays", "ForwardDiff", "Integrals", "IntegralsCubature", "IntegralsCuba", "FiniteDiff", "RecursiveArrayTools"]
+test = ["Test", "SafeTestsets", "TestExtras", "Pkg", "PkgBenchmark", "BenchmarkTools", "ReferenceTests", "SymPy", "StaticArrays", "Random", "OrdinaryDiffEq", "ComponentArrays", "ForwardDiff", "Integrals", "IntegralsCubature", "IntegralsCuba", "FiniteDiff", "RecursiveArrayTools"]
diff --git a/src/SciMLExpectations.jl b/src/SciMLExpectations.jl
index 4392963..f842753 100644
--- a/src/SciMLExpectations.jl
+++ b/src/SciMLExpectations.jl
@@ -1,7 +1,7 @@
 module SciMLExpectations
 
 # LinearAlgebra
-using DiffEqBase, SciMLBase, Statistics, Reexport, RecursiveArrayTools, StaticArrays,
+using DiffEqBase, SciMLBase, Statistics, Reexport, RecursiveArrayTools,
       Distributions, KernelDensity, Zygote, LinearAlgebra, Random
 using Parameters: @unpack
 
diff --git a/src/distribution_utils.jl b/src/distribution_utils.jl
index 960324f..e3960db 100644
--- a/src/distribution_utils.jl
+++ b/src/distribution_utils.jl
@@ -16,8 +16,8 @@ function GenericDistribution(d::Distributions.Sampleable, ds...)
     dists = (d, ds...)
     pdf_func(x) = exp(sum(logpdf(f, y) for (f, y) in zip(dists, x)))
     rand_func() = [rand(d) for d in dists]
-    lb = SVector(map(minimum, dists)...)
-    ub = SVector(map(maximum, dists)...)
+    lb = tuple(map(minimum, dists)...)
+    ub = tuple(map(maximum, dists)...)
 
     GenericDistribution(pdf_func, rand_func, lb, ub)
 end
diff --git a/test/interface.jl b/test/interface.jl
index 10a23c1..271df01 100644
--- a/test/interface.jl
+++ b/test/interface.jl
@@ -31,9 +31,9 @@ end
     @constinferred GenericDistribution(pdf_f, rand_f, lb, ub)
 
     for gd in (gd_ind, gd_raw)
-        @test minimum(gd) == minimum(P)
-        @test maximum(gd) == maximum(P)
-        @test extrema(gd) == extrema(P)
+        @test minimum([gd...]) == minimum([P...])
+        @test maximum([gd...]) == maximum([P...])
+        @test extrema([gd...]) == extrema([P...])
         @test pdf(gd, x) ≈ pdf(P, x)
         @constinferred pdf(gd, x)