Research on Approximate Bayesian Computation

作者: Jiting Xu

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参考文章(5)
P. Marjoram, J. Molitor, V. Plagnol, S. Tavare, Markov chain Monte Carlo without likelihoods Proceedings of the National Academy of Sciences of the United States of America. ,vol. 100, pp. 15324- 15328 ,(2003) , 10.1073/PNAS.0306899100
Zhihua Zhang, Chibiao Chen, Jian Sun, Kap Luk Chan, EM algorithms for Gaussian mixtures with split-and-merge operation Pattern Recognition. ,vol. 36, pp. 1973- 1983 ,(2003) , 10.1016/S0031-3203(03)00059-1
S. A. Sisson, Y. Fan, M. M. Tanaka, Sequential Monte Carlo without likelihoods Proceedings of the National Academy of Sciences of the United States of America. ,vol. 104, pp. 1760- 1765 ,(2007) , 10.1073/PNAS.0607208104
Mark A. Beaumont, Approximate Bayesian Computation in Evolution and Ecology Annual Review of Ecology, Evolution, and Systematics. ,vol. 41, pp. 379- 406 ,(2010) , 10.1146/ANNUREV-ECOLSYS-102209-144621
Puneet Singla, Gabriel Terejanu, Tarunraj Singh, Peter D. Scott, A Decision-Centric Framework for Density Forecasting. Journal of Advances in Information Fusion. ,vol. 5, pp. 73- 87 ,(2010)