References in zbMATH (referenced in 532 articles )

Showing results 1 to 20 of 532.
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  1. Anderson, Eric C.; Ng, Thomas C.: Bayesian pedigree inference with small numbers of single nucleotide polymorphisms via a factor-graph representation (2016)
  2. Azevedo, Caio L.N.; Fox, Jean-Paul; Andrade, Dalton F.: Bayesian longitudinal item response modeling with restricted covariance pattern structures (2016)
  3. Böing-Messing, Florian; Mulder, Joris: Automatic Bayes factors for testing variances of two independent normal distributions (2016)
  4. Carmichael, Owen; Sakhanenko, Lyudmila: Integral curves from noisy diffusion MRI data with closed-form uncertainty estimates (2016)
  5. Dagne, Getachew A.: Bayesian segmental growth mixture Tobit models with skew distributions (2016)
  6. Dienes, Zoltan: How Bayes factors change scientific practice (2016)
  7. Duncan, A.B.; Lelièvre, T.; Pavliotis, G.A.: Variance reduction using nonreversible Langevin samplers (2016)
  8. Fontanella, Lara; Sarra, Annalina; Di Zio, Simone; Valentini, Pasquale: A hierarchical generalised Bayesian SEM to assess quality of democracy in Europe (2016)
  9. Guo, Xuan; Liu, Bing; Chen, Le; Chen, Guantao; Pan, Yi; Zhang, Jing: Bayesian inference for functional dynamics exploring in fMRI data (2016)
  10. Howard, Marylesa; Fowler, Michael; Luttman, Aaron; Mitchell, Stephen E.; Hock, Margaret C.: Bayesian Abel inversion in quantitative X-ray radiography (2016)
  11. 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)
  12. Jamshidi, Arta A.; Powell, Warren B.: A recursive local polynomial approximation method using Dirichlet clouds and radial basis functions (2016)
  13. Jiang, Zhichao; Ding, Peng: Robust modeling using non-elliptically contoured multivariate $t$ distributions (2016)
  14. Li, Cheng; Jiang, Wenxin: On oracle property and asymptotic validity of Bayesian generalized method of moments (2016)
  15. Marsman, Maarten; Maris, Gunter; Bechger, Timo; Glas, Cees: What can we learn from plausible values? (2016)
  16. Mesa, Mirtha Irizar; Tavares C^amara, Le^oncio D.; Campos-Knupp, Diego; da Silva Neto, Ant^onio José: Uncertainty quantification in chromatography process identification based on Markov chain Monte Carlo (2016)
  17. Moreno-Jiménez, José María; Salvador, Manuel; Gargallo, Pilar; Altuzarra, Alfredo: Systemic decision making in AHP: a Bayesian approach (2016)
  18. Mukhopadhyay, Chiranjit; Roy, Soumya: Bayesian accelerated life testing under competing log-location-scale family of causes of failure (2016)
  19. Mulder, Joris: Bayes factors for testing order-constrained hypotheses on correlations (2016)
  20. Pereyra, Marcelo: Proximal Markov chain Monte Carlo algorithms (2016)

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