References in zbMATH (referenced in 556 articles )

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  1. Geppert, Leo N.; Ickstadt, Katja; Munteanu, Alexander; Quedenfeld, Jens; Sohler, Christian: Random projections for Bayesian regression (2017)
  2. Raim, Andrew M.; Neerchal, Nagaraj K.; Morel, Jorge G.: An approximation to the information matrix of exponential family finite mixtures (2017)
  3. Yan, Liang; Wang, Rui; Xu, Xingzhong: Fiducial inference in the classical errors-in-variables model (2017)
  4. Anderson, Eric C.; Ng, Thomas C.: Bayesian pedigree inference with small numbers of single nucleotide polymorphisms via a factor-graph representation (2016)
  5. Azevedo, Caio L.N.; Fox, Jean-Paul; Andrade, Dalton F.: Bayesian longitudinal item response modeling with restricted covariance pattern structures (2016)
  6. Berliner, L.Mark; Brynjarsdóttir, Jenný: A framework for multi-model ensembling (2016)
  7. Böing-Messing, Florian; Mulder, Joris: Automatic Bayes factors for testing variances of two independent normal distributions (2016)
  8. Carmichael, Owen; Sakhanenko, Lyudmila: Integral curves from noisy diffusion MRI data with closed-form uncertainty estimates (2016)
  9. Dagne, Getachew A.: Bayesian segmental growth mixture Tobit models with skew distributions (2016)
  10. Dienes, Zoltan: How Bayes factors change scientific practice (2016)
  11. Duncan, A.B.; Lelièvre, T.; Pavliotis, G.A.: Variance reduction using nonreversible Langevin samplers (2016)
  12. Fontanella, Lara; Sarra, Annalina; Di Zio, Simone; Valentini, Pasquale: A hierarchical generalised Bayesian SEM to assess quality of democracy in Europe (2016)
  13. Frenklach, Michael; Packard, Andrew; Garcia-Donato, Gonzalo; Paulo, Rui; Sacks, Jerome: Comparison of statistical and deterministic frameworks of uncertainty quantification (2016)
  14. Guo, Xuan; Liu, Bing; Chen, Le; Chen, Guantao; Pan, Yi; Zhang, Jing: Bayesian inference for functional dynamics exploring in fMRI data (2016)
  15. Howard, Marylesa; Fowler, Michael; Luttman, Aaron; Mitchell, Stephen E.; Hock, Margaret C.: Bayesian Abel inversion in quantitative X-ray radiography (2016)
  16. Huttunen, J.M.J.; Turunen, M.J.; Honkanen, J.T.J.; Töyräs, J.; Jurvelin, J.S.: Estimation of systematic and spatially correlated components of random signals from repeated measurements: application to contrast enhanced computer tomography measurements (2016)
  17. Jamshidi, Arta A.; Powell, Warren B.: A recursive local polynomial approximation method using Dirichlet clouds and radial basis functions (2016)
  18. Jiang, Zhichao; Ding, Peng: Robust modeling using non-elliptically contoured multivariate $t$ distributions (2016)
  19. Karp, D.B.: Normalized incomplete beta function: log-concavity in parameters and other properties (2016)
  20. Katahira, Kentaro: How hierarchical models improve point estimates of model parameters at the individual level (2016)

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