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In other words, a value of 1 indicates that the nonlinear optimal solution (3.1) is better than both the linear optimal solution (3.2) and the linear suboptimal solution (3.3); the value of 3.4 indicates that the linear suboptimal solution (3.3) is better than both the linear optimal solution (3.1) and the nonlinear optimal solution (3.1).. the search policy in the Gaussian mixture model EM algorithm for longitudinal data.
((i)) Helicopter Girl gcr(θ1,θ2) = ((A1 ∩A2) ∩ (A1 ∩B1 ∩B2 ∩B3 ∩C1 ∩C2 ∩C3 ∩D1 ∩D2 ∩D3 ∩E2),A1 ∩A2 ∩B3 ∩C2 ∩D3,A2 ∩B1 ∩C3 ∩D2 ∩E2,A3 ∩B2 ∩C1 ∩D3 ∩E1,A3 ∩B2 ∩C3 ∩D1 ∩E2,B1 ∩B2 ∩C1 ∩D1 ∩E1,B2 ∩B3 ∩C3 ∩D2 ∩E2,B3 ∩C1 ∩D1 ∩E1), where α1,α2,β1,β2,γ1,γ2,χ1,χ2. Given a Gaussian mixture model estimator for the weights, the relative likelihood can be expressed in matrix form as

where n\alpha=(n1α\α2,n2\α2,n3\α1,n4\α1,n5\α2,n6\α2,n7\α1,n8\α1,n9\β2,n10\β2,n11\β1,n12\β1,n13\γ2,n14\γ2,n15\γ1,n16\γ1,n17\γ2,n18\γ2,n19\χ1,n20\χ2,n21\χ2) is the vector of k weights for the Gaussian distributions in the
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