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analyse économique - iate.europa.eu
New event-driven sampling techniques for network reliability estimation... Two new techniques, geometric sampling and block sampling, are developed to efficiently sample states of a network....
général - core.ac.uk - PDF: citeseerx.ist.psu.edu
Bimj header will be provided by the publisher locally adaptive function estimation for binary regression models... Estimation is fully Bayesian and uses latent utility representations of binary regression models for ef£cient block sampling from the full conditionals of nonlinear functions....
Large-scale stochastic optimization using non-stationary geostatistics for uncertainty assessment of groundwater flow and solute transport, in the framework of a near surface radioactive waste disposal... To quantify the uncertainty associated with solute transport in the framework of a near surface radioactive waste disposal in Mol/Dessel, Belgium, we investigate combining the adaptive Metropolis (AM) McMC algorithm for updating the global model parameters, and adaptive spatial resampling (ASR) for updating of the spatially distributed model parameters, by block sampling....
Nonparametric regression - a markov chain monte carlo approach...2.1.2 Block Sampling ...


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