Báo cáo sinh học: " Bayesian inference in threshold using Gibbs sampling DA Sorensen" pot

... Generation. Springer-Verlag, New York, USA Original article Bayesian inference in threshold models using Gibbs sampling DA Sorensen S Andersen 2 D Gianola I Korsgaard 1 National Institute ... 361-409 Gelfand AE, Hills SE, Racine-Poon A, Smith AFM (1990) Illustration of Bayesian inference in normal data models using Gibbs sampling. J Am S...

Ngày tải lên: 09/08/2014, 18:21

... substituted for Uj using adaptive rejection sampling; Original article Bayesian inference in the semiparametric log normal frailty model using Gibbs sampling Inge Riis Korsgaard* Per ... W.R., Wild P., Adaptive rejection sampling for Gibbs sampling, Appl. Stat. 41 (1992) 337-348. [17] Hastings W.K., Monte Carlo sampling methods using Marko...

Ngày tải lên: 09/08/2014, 18:21

... offspring in the analyses. Data were analysed using the DP algorithm assuming crossbreeding, using the DP algorithm assuming random mating and using PHASE, which assumes random mating. Similarity Indices ... 71:1242-1247. 7. Xing E, Jordan R, Jordan MI: Bayesian haplotype inference via the dirichlet process. Proceedings of the Twenty-First International Conference on Machine Learn...

Ngày tải lên: 14/08/2014, 13:21

... T.M., Bayesian analysis of constrained para- meters and truncated data problems using Gibbs sampling, J. Am. Stat. Assoc. 87 (1992) 523–532. [12] Gelman A., Rubin D.R., A single series from the Gibbs ... random effects / Gibbs sampler 1. INTRODUCTION In animal breeding applications, it is usually assumed that the data follows a mixed linear model. Mixed linear models are naturall...

Ngày tải lên: 14/08/2014, 13:21

... Bayesian inference in normal data models using Gibbs sampling. J Am Stat Assoc 85, 972-985 Geweke J (1988) Antithetic acceleration of Monte Carlo integration in Bayesian inference. ... (1984) Bayesian Full Information Analysis of Simultaneous Equations Models Using Integrataon by Monte Carlo. Springer-Verlag, Berlin In the preceding, repl...

Ngày tải lên: 14/08/2014, 20:20

... of tested candidates could also be made more accurate by using combined selection, as in the designs considered by Poujardieu

Ngày tải lên: 14/08/2014, 20:20

... likelihood Block maximal init Block minimal init Local minimal init Local maximal init Figure 4: Training likelihood vs. iteration. Each sampling method was initialised with both minimal and maximal ... inference in infinite TSGs. We also trained the model on the standard Penn treebank training set (sections 2–21). We ini- tialised the model with the final sample from a run on the small t...

Ngày tải lên: 17/03/2014, 00:20

... to investigate whether a segregating major gene affecting milk flow exists in three breeds of Swiss dairy cattle, using 4 to 22 years of milk flow data. A Bayesian segregation analysis using the Gibbs ... allele frequencies [8]. Gibbs sampling algorithm with blocked sampling of genotypes was used for inference in the mixed inheritance models (1) and (2) and implemented using...

Ngày tải lên: 14/08/2014, 13:22

... these are as in [8] or !11!. INFERENCES ABOUT THE MARGINAL DISTRIBUTIONS THROUGH GIBBS SAMPLING Gibbs sampling: an overview The Gibbs sampler was used first in spatial statistics ... Racine-Poon A, Smith AFM (1990) Illustration of Bayesian inference in normal data models using Gibbs sampling. J Am Stat Assoc 85, 972-985 Gelfand AE, Sm...

Ngày tải lên: 14/08/2014, 19:22

... previous decisions inside the cache (favoring sparser distributions). Efficient inference via type sampling: We use a Gibbs sampling (Geman and Geman, 1984) method for performing inference on our ... sampling Unlike point-wise sampling, type sampling quickly converges to better decipherment solutions. After 5000 sampling passes over the entire data, decipherment output from type...

Ngày tải lên: 07/03/2014, 22:20