Mathematical aspects of various methods for sampling from classical distributions
WSC '89 Proceedings of the 21st conference on Winter simulation
A rejection technique for sampling from T-concave distributions
ACM Transactions on Mathematical Software (TOMS)
Rejection-inversion to generate variates from monotone discrete distributions
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Automatic sampling with the ratio-of-uniforms method
ACM Transactions on Mathematical Software (TOMS)
Computer Generation of Random Variables Using the Ratio of Uniform Deviates
ACM Transactions on Mathematical Software (TOMS)
A note on transformed density rejection
Computing
A simple universal generator for continuous and discrete univariate T-concave distributions
ACM Transactions on Mathematical Software (TOMS)
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We use inequalities to design short universal algorithms that can be used to generate random variates from large classes of univariate continuous or discrete distributions (including all log-concave distributions). The expected time is uniformly bounded over all these distributions for a particular generator. The algorithms can be implemented in a few lines of high level language code.