Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data
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References listed on IDEAS
- C. C. Drovandi & A. N. Pettitt, 2011. "Estimation of Parameters for Macroparasite Population Evolution Using Approximate Bayesian Computation," Biometrics, The International Biometric Society, vol. 67(1), pages 225-233, March.
- Pierre Del Moral & Arnaud Doucet & Ajay Jasra, 2006. "Sequential Monte Carlo samplers," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 68(3), pages 411-436.
- Stefanie Biedermann & David C. Woods, 2011. "Optimal designs for generalized non‐linear models with application to second‐harmonic generation experiments," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 60(2), pages 281-299, March.
- Nicolas Chopin, 2002.
"A sequential particle filter method for static models,"
Biometrika Trust, vol. 89(3), pages 539-552, August.
- Nicolas Chopin, 2000. "A Sequential Particle Filter Method for Static Models," Working Papers 2000-45, Center for Research in Economics and Statistics.
- N. Friel & A. N. Pettitt, 2008. "Marginal likelihood estimation via power posteriors," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(3), pages 589-607.
- Dror, Hovav A. & Steinberg, David M., 2008. "Sequential Experimental Designs for Generalized Linear Models," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 288-298, March.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Ryan, Elizabeth G. & Drovandi, Christopher C. & Thompson, M. Helen & Pettitt, Anthony N., 2014. "Towards Bayesian experimental design for nonlinear models that require a large number of sampling times," Computational Statistics & Data Analysis, Elsevier, vol. 70(C), pages 45-60.
- repec:eee:csdana:v:113:y:2017:i:c:p:207-225 is not listed on IDEAS
- Azriel, David, 2014. "Optimal sequential designs in phase I studies," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 288-297.
- Abebe, Haftom T. & Tan, Frans E.S. & Van Breukelen, Gerard J.P. & Berger, Martijn P.F., 2014. "Bayesian D-optimal designs for the two parameter logistic mixed effects model," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 1066-1076.
More about this item
KeywordsClinical trials; Generalised linear model; Generalised non-linear model; Sequential design; Sequential Monte Carlo; Target stimulus;
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