Adaptive rejection sampling with fixed number of nodes
نویسندگان
چکیده
منابع مشابه
Adaptive Rejection Sampling with fixed number of nodes
The adaptive rejection sampling (ARS) algorithm is a universal random generator for drawing samples efficiently from a univariate log-concave target probability density function (pdf). ARS generates independent samples from the target via rejection sampling with high acceptance rates. Indeed, ARS yields a sequence of proposal functions that converge toward the target pdf, so that the probabilit...
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Adaptive rejection sampling (ARS) is an algorithm by Gilks and Wild for drawing samples from a continuous log-concave probability distribution with only black-box access to a function that computes the (unnormalized) density function. The ideas extend in a straightforward way to discrete log-concave distributions, but some details of the extension and its implementation can be tricky. This repo...
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متن کاملApplication of adaptive sampling in fishery part 2: Truncated adaptive cluster sampling designs
There are some experiences that researcher come across quite number of time for very large networks in the initial samples such that they cannot finish the sampling procedure. Two solutions have been proposed and used by marine biologists which we discuss in this article: i) Adaptive cluster sampling based on order statistics with a stopping rule, ii) Restricted adaptive cluster sampling. Until...
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ژورنال
عنوان ژورنال: Communications in Statistics - Simulation and Computation
سال: 2017
ISSN: 0361-0918,1532-4141
DOI: 10.1080/03610918.2017.1395039