Efficient estimation and simulation of the truncated multivariate student-t distribution
Abstract
We propose an exponential tilting method for exact simulation from the truncated multivariate student-t distribution in high dimensions as an alternative to approximate Markov Chain Monte Carlo sampling. The method also allows us to accurately estimate the probability that a random vector with multivariate student-t distribution falls in a convex polytope. Numerical experiments show that the suggested method is significantly more accurate and reliable than its competitors.
Domains
Operations Research [cs.RO]
Origin : Files produced by the author(s)
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