It reviews and develops a class of approximation procedures based upon the idea of ABC, but, specifically maintains the probabilistic structure of the original statistical model. This idea is useful, in that it can facilitate an analysis of the bias of the approximation and the adaptation of esta...
We propose extensions of the Approximate Bayesian Computation–Population Monte Carlo (ABC–PMC) algorithm as an alternative framework for inference on finite mixture models. There are several decisions to make when implementing an ABC–PMC algorithm for finite mixture models, including the selection of...
反过来设法逼近似然函数的效果Approximate Bayesian computation中的Approximate指的就是对似然函数的趋近具体方...
Approximate Bayesian Computation (ABC) is typically used when the likelihood is either unavailable or intractable but where data can be simulated under different parameter settings using a forward model. Despite the recent interest in ABC, high-dimensional data and costly simulations still remain a ...
J. Approximate Bayesian computation in population genetics. Genetics 162, 2025–2035 (2002). Google Scholar Gershenfeld, N. A. & Chuang, I. L. Bulk spin-resonance quantum computation. Science 275, 350–356 (1997). MathSciNet MATH Google Scholar Braunstein, S. L. et al. Separability of...
approximate Bayesian computation, model choice, expected deviance, information criterion, population genetic modelsApproximate Bayesian computation (ABC) is a class of algorithmic methods in Bayesian inference using statistical summaries and computer simulations. ABC has become popular in evolutionary genetics ...
Approximate Bayesian Computation, Class of methods in Bayesian Statistics where the posterior distribution is approximated over a rejection scheme on simulations because the likelihood function is intractable.Different parameters get sampled and simulated. Then a distance function is calculated to measure the...
Approximate Bayesian Computation (ABC for short) is a family of computational techniques which offer an almost automated solution in situations where evaluation of the posterior likelihood is computationally prohibitive, or whenever suitable likelihoods are not available. In the present paper, we analyze...
Approximate Bayesian Computation of radiocarbon and paleoenvironmental record shows population resilience on Rapa Nui (Easter Island) Robert J. DiNapoli, Enrico R. Crema, Carl P. Lipo, Timothy M. Rieth & Terry L. Hunt Nature Communications volume 12, Article number: 3939 (2021) Cite this artic...
Approximate Bayesian computation中的Approximate指的就是对似然函数的趋近 具体方法大纲如下 假设已有一个...