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Generalizations of the Multivariate Logistic Distribution with Applications to Monte Carlo Importance Sampling

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Figure

Figure 1.3: Importance sampling weights produced using four different importancesamplers (dimension=3)
Table 2.2: Estimated Fourier Coefficients for dimensions 1, 3, 5 and 10 resulting fromfitting Laguerre polynomials to the marginal densities of the EMVL.
Figure 2.4: Importance sampling weights using the posterior distributions from Prob-lems 1 (top figure) and 2 (bottom figure), untransformed Dirichlet and the EMVL asthe importance sampler
Figure 2.5: Importance sampling weights using the posterior distributions from Prob-lems 3 (top figure) and 4 (bottom figure), untransformed Dirichlet and the EMVL asthe importance sampler
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