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ABSTRACT
This presentation considers integral approximation via importance sampling where the importance sampler is chosen from the family of skew-normal distributions. This is a wider class of distributions than is typically considered in importance sampling applications. We describe variate generation and propose adaptive methods for fitting a member of the skew-normal family to a particular integral. |
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