diff --git a/src/mixtures/mixturemodel.jl b/src/mixtures/mixturemodel.jl
index 31f1931fb..babf66a5f 100644
--- a/src/mixtures/mixturemodel.jl
+++ b/src/mixtures/mixturemodel.jl
@@ -371,19 +371,31 @@ pdf(d::UnivariateMixture, x::Real) = _mixpdf1(d, x)
 logpdf(d::UnivariateMixture, x::Real) = _mixlogpdf1(d, x)
 
 function gradlogpdf(d::UnivariateMixture, x::Real)
-    cp = components(d)
-    pr = probs(d)
-    pdfx1 = pdf(cp[1], x)
-    pdfx = pr[1] * pdfx1
-    _glp = pdfx * gradlogpdf(cp[1], x)
-    glp = (!iszero(pr[1])) && (!iszero(pdfx)) ? _glp : zero(_glp)
-    @inbounds for i in Iterators.drop(eachindex(pr, cp), 1)
-        if !iszero(pr[i])
-            pdfxi = pdf(cp[i], x)
+    ps = probs(d)
+    cs = components(d)
+
+    # `d` is expected to have at least one distribution, otherwise this will just error
+    psi, idxps = iterate(ps)
+    csi, idxcs = iterate(cs)
+    pdfx1 = pdf(csi, x)
+    pdfx = psi * pdfx1
+    glp = pdfx * gradlogpdf(csi, x)
+    if iszero(psi) || iszero(pdfx)
+        glp = zero(glp)
+    end
+    
+    while true
+        iterps = iterate(ps, idxps)
+        itercs = iterate(cs, idxcs)
+        ( (iterps !== nothing) && (itercs !== nothing) ) || break
+        psi, idxps = iterps
+        csi, idxcs = itercs
+        if !iszero(psi)
+            pdfxi = pdf(csi, x)
             if !iszero(pdfxi)
-                pipdfxi = pr[i] * pdfxi
+                pipdfxi = psi * pdfxi
                 pdfx += pipdfxi
-                glp += pipdfxi * gradlogpdf(cp[i], x)
+                glp += pipdfxi * gradlogpdf(csi, x)
             end
         end
     end
@@ -403,27 +415,37 @@ _pdf!(r::AbstractArray{<:Real}, d::MultivariateMixture, x::AbstractMatrix{<:Real
 _logpdf!(r::AbstractArray{<:Real}, d::MultivariateMixture, x::AbstractMatrix{<:Real}) = _mixlogpdf!(r, d, x)
 
 function gradlogpdf(d::MultivariateMixture, x::AbstractVector{<:Real})
-    cp = components(d)
-    pr = probs(d)
-    pdfx1 = pdf(cp[1], x)
-    pdfx = pr[1] * pdfx1
-    glp = pdfx * gradlogpdf(cp[1], x)
-    if ( iszero(pr[1]) || iszero(pdfx) )
+    ps = probs(d)
+    cs = components(d)
+
+    # `d` is expected to have at least one distribution, otherwise this will just error
+    psi, idxps = iterate(ps)
+    csi, idxcs = iterate(cs)
+    pdfx1 = pdf(csi, x)
+    pdfx = psi * pdfx1
+    glp = pdfx * gradlogpdf(csi, x)
+    if iszero(psi) || iszero(pdfx)
         glp .= zero(eltype(glp))
     end
-    @inbounds for i in Iterators.drop(eachindex(pr, cp), 1)
-        if !iszero(pr[i])
-            pdfxi = pdf(cp[i], x)
+    
+    while true
+        iterps = iterate(ps, idxps)
+        itercs = iterate(cs, idxcs)
+        ( (iterps !== nothing) && (itercs !== nothing) ) || break
+        psi, idxps = iterps
+        csi, idxcs = itercs
+        if !iszero(psi)
+            pdfxi = pdf(csi, x)
             if !iszero(pdfxi)
-                pipdfxi = pr[i] * pdfxi
+                pipdfxi = psi * pdfxi
                 pdfx += pipdfxi
-                glp .+= pipdfxi * gradlogpdf(cp[i], x)
+                glp .+= pipdfxi * gradlogpdf(csi, x)
             end
         end
     end
     if !iszero(pdfx) # else glp is already zero
         glp ./= pdfx
-    end
+    end 
     return glp
 end