Bayesian Computation via the Gibbs Sampler for Mixture Models with Gaussian Distal OutcomesLatent class analysisdistal outcomeslatent variable modelingBayesian inferenceModels with distal outcomes have been commonly used to evaluate the effect of categorical latent variables on an observed dependent variable, ...
which models Xe as a sister population of Denisovans. Model H is slightly more likely than Model F (1.2 times more likely), and much more likely than models E (5 times more likely), G (7.6 times) and D (107 times). Models not considering the presence of an extinct archaic ‘ghost’...
We show that the frequentist properties of the Bayesian g-formula suggest it improves the accuracy of estimates of causal effects in small samples or when data may be sparse. We demonstrate our approach to estimate the effect of environmental tobacco smoke on body mass index z-scores among ...
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(2011). Deviance Information Criteria for Model Selection in Approximate Bayesian Computation. arXiv: 1105.0269v1 [stat.CO].Francois O, Laval G (2011) Deviance Information Criteria for Model Selection in Approximate Bayesian Computation. ArXiv e-prints 1105.0269...
Section 4 will be dedicated to the description of the stochastic computer implementing that model, focusing first on the general principles of computation using stochastic bitstream and second to their application to the Bayesian disparity computation. The evaluation of that system and its results will...
Instead of a single longer Markov chain, you can run several shorter chains to: explore convergence from different initial states and potentially detect pseudoconvergence; obtain more precise results; and speed up computation when running the chains in parallel using multiple processors. Yulia Marchenko...
C. Fault tolerant quantum computation with nondeterministic gates. Phys. Rev. Lett. 105, 250502 (2010). Article ADS Google Scholar Li, Y., Humphreys, P. C., Mendoza, G. J. & Benjamin, S. C. Resource costs for fault-tolerant linear optical quantum computing. Phys. Rev. 5, 041007 ...
M.G.B. Blum. Approximate Bayesian Computation: A Nonparametric Perspective. Jour- nal of the American Statistical Association, 105(491):1178-1187, 2010.BLUM, M. G. (2010). Approximate Bayesian computation: a nonparametric perspective. Journal of the American Statistical Association 105, 1178-1187...