[PDF] Top 20 On the asymptotic efficiency of approximate Bayesian computation estimators
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On the asymptotic efficiency of approximate Bayesian computation estimators
... the efficiency of approximate Baysian computation, where by efficiency we mean that an estimator obtained from running Algorithm 1 has the same rate of convergence as the maximum likelihood ... See full document
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On the asymptotic efficiency of approximate Bayesian computation estimators
... of approximate Bayesian ...of approximate Bayesian com- putation we need to consider convergence of integrals over the parameter space, R p ... See full document
18
A tutorial introduction to Bayesian inference for stochastic epidemic models using Approximate Bayesian Computation
... only Bayesian statistics, but have also been developded for fitting stochastic epidemic models to partially observed outbreak data (O’Neill and Roberts, 1999; Gibson and Renshaw, ...the efficiency of the ... See full document
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Convergence of regression adjusted approximate Bayesian computation
... present asymptotic results for the regression-adjusted version of approximate Bayesian computation introduced by Beaumont et ...standard approximate Bayesian computation, ... See full document
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Bridging the gap between GLUE and formal statistical approaches: approximate Bayesian computation
... Although the numerical results of GLUE and ABC are very similar, the PMC sampler requires only 1/30 (1/8) of the simulations of GLUE to locate N = 1000 posterior solutions for the SAC-SMA (hmodel) (see Table 3). The ... See full document
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Using Approximate Bayesian Computation to Estimate Tuberculosis Transmission Parameters From Genotype Data
... Tolerance level: We investigated the effect of varying the tolerance parameter e . This parameter affects both the computational efficiency and the accuracy of the inference. Unfortunately, with the Markov chain ... See full document
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Variance bounding and geometric ergodicity of Markov chain Monte Carlo kernels for approximate Bayesian computation
... Approximate Bayesian computation has emerged as a standard computational tool when deal- ing with intractable likelihood functions in Bayesian ...and asymptotic variances can be ... See full document
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Approximate Bayesian computation (ABC) gives exact results under the assumption of model error
... This algorithm gives exact draws from the posterior distribution of θ given D, and in theory there is no need for any assumption of measurement error. Note that θ can include parameter α for the sampling rate, to be ... See full document
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Auxiliary likelihood based approximate Bayesian computation in state space models
... to approximate the features of the true data generating ...a Bayesian framework, the principle underlying the frequentist methods of indirect inference (Gouri´ eroux et ...in efficiency, the price ... See full document
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Local Kernel Dimension Reduction in Approximate Bayesian Computation
... the efficiency of the SMC chain is decreased; if it is set too low, more bias are induced in the esti- mated posterior mean suggesting loss of information in the constructed sum- mary ... See full document
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Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation
... The algorithm used here for estimating the model parameters was a more computationally efficient extension of the basic ABC algorithm, known as ABC-SMC. A shortcoming of the basic ABC algorithm described above is the low ... See full document
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A rare event approach to high dimensional approximate Bayesian computation
... Abstract Approximate Bayesian computation (ABC) meth- ods permit approximate inference for intractable likelihoods when it is possible to simulate from the ... See full document
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Amount of Information Needed for Model Choice in Approximate Bayesian Computation
... indicating that there is enough information in the summary statistics to distinguish between the models. There is still a separation between the models on the second and third PCs, but they cannot be distinguished on the ... See full document
13
Approximate Bayesian Computation in Population Genetics
... for approximate Bayesian statistical inference on the basis of summary ...of Bayesian statistical inference with the computational efficiency of methods based on summary ...statistical ... See full document
12
Approximate Bayesian computation by subset simulation
... new Approximate Bayesian Computation (ABC) algorithm for Bayesian updating of model parameters is proposed in this paper, which combines the ABC principles with the technique of Subset ... See full document
20
Asymptotic properties of approximate Bayesian computation
... imate Bayesian computation ...zero. Bayesian consistency places a less stringent condi- tion on the speed with which the tolerance declines to zero than does asymptotic normality of the ... See full document
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An overview on Approximate Bayesian computation*
... The acceptation-rejection algorithm given above might be very time consuming. But, because of the inde- pendence of each proposed particle, the computations can be easily divided to be carried out by many CPU, i.e., the ... See full document
9
Model selection and parameter estimation in structural dynamics using approximate Bayesian computation
... conduct Bayesian inference. In this paper, the use of the approximate Bayesian com- putation (ABC) algorithm is introduced as a promising alternative to deal with model selection and parameter ...its ... See full document
20
Model selection and parameter estimation of dynamical systems using a novel variant of approximate Bayesian computation
... new approximate Bayesian computation algorithm based on an ellipsoidal nested sampling method named ABC-NS has been proposed in this paper for parameter estimation and model ...low efficiency ... See full document
24
Comparative Evaluation of a New Effective Population Size Estimator Based on Approximate Bayesian Computation
... likelihood-based estimators and a traditional moment-based ...the estimators had RMSE ⬎ 1 when small samples (n ⫽ 20, five loci) were collected a generation ... See full document
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