diff --git a/gtsam/hybrid/tests/TinyHybridExample.h b/gtsam/hybrid/tests/TinyHybridExample.h
index c34d55bf0..ad1374911 100644
--- a/gtsam/hybrid/tests/TinyHybridExample.h
+++ b/gtsam/hybrid/tests/TinyHybridExample.h
@@ -57,7 +57,7 @@ inline HybridBayesNet createHybridBayesNet(int num_measurements = 1,
 
   // Add prior on mode.
   const size_t nrModes = manyModes ? num_measurements : 1;
-  for (int i = 0; i < nrModes; i++) {
+  for (const size_t i = 0; i < nrModes; i++) {
     bayesNet.emplace_back(new DiscreteConditional({M(i), 2}, "4/6"));
   }
   return bayesNet;
diff --git a/gtsam/linear/tests/testErrors.cpp b/gtsam/linear/tests/testErrors.cpp
index 415cd9496..2075dc5bc 100644
--- a/gtsam/linear/tests/testErrors.cpp
+++ b/gtsam/linear/tests/testErrors.cpp
@@ -24,12 +24,11 @@ using namespace gtsam;
 
 /* ************************************************************************* */
 TEST(Errors, arithmetic) {
-  Errors e = std::list<Vector>{Vector2(1.0, 2.0), Vector3(3.0, 4.0, 5.0)};
+  Errors e = {Vector2(1.0, 2.0), Vector3(3.0, 4.0, 5.0)};
   DOUBLES_EQUAL(1 + 4 + 9 + 16 + 25, dot(e, e), 1e-9);
 
   axpy(2.0, e, e);
-  const Errors expected =
-      std::list<Vector>{Vector2(3.0, 6.0), Vector3(9.0, 12.0, 15.0)};
+  const Errors expected = {Vector2(3.0, 6.0), Vector3(9.0, 12.0, 15.0)};
   CHECK(assert_equal(expected, e));
 }