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Statistical modelling of summary values leads to accurate Approximate Bayesian Computations
Statistical modelling summary values leads accurate Approximate Bayesian Computations
2013/6/14
Approximate Bayesian Computations (ABC) are considered to be noisy. We show that ABC can be set up to estimate the mode of the true posterior density exactly, or alternatively provide unbiased estimat...
An Interacting Particle Method for Approximate Bayes Computations
Interacting Method Bayes Computations
2012/9/17
Approximate Bayes Computations (ABC) are used for parameter inference when the likelihood function is expensive to evaluate but relatively cheap to sample from. In ABC,a population of particles in the...
Screening and metamodeling of computer experiments with functional outputs. Application to thermal-hydraulic computations
Functional output Pressurized thermal shock transient
2010/10/19
To perform uncertainty, sensitivity or optimization analysis on scalar variables calculated by a cpu time expensive computer code, a widely accepted methodology consists in first identifying the most...
On the Bayesian Approach for Frequentist Computations
the Bayesian Approach Frequentist Computations
2009/9/18
On the Bayesian Approach for Frequentist Computations。
The pseudo-marginal approach for efficient Monte Carlo computations
Markov chain Monte Carlo auxiliary variable marginal convergence
2010/3/19
We introduce a powerful and flexibleMCMC algorithm for stochastic
simulation. The method builds on a pseudo-marginal method originally
introduced in [Genetics 164 (2003) 1139–1160], showing how
alg...