Abstract
Based on the fact that any nondecreasing positive Lévy process can be approximated by a sequence of compound Poisson processes, an approximate sampling algorithm to generate a sample path of a beta process is developed. The proposed algorithm is compared with other similar algorithms. Also, illustrated is, as an example, a Markov chain Monte Carlo algorithm for proportional hazard model based on the proposed algorithm.
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