References in zbMATH (referenced in 690 articles )

Showing results 1 to 20 of 690.
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  1. Butler, T.; Jakeman, J.; Wildey, T.: Combining push-forward measures and Bayes’ rule to construct consistent solutions to stochastic inverse problems (2018)
  2. Chan, J.S.K.; Choy, S.T.B.; Makov, U.E.; Landsman, Z.: Modelling insurance losses using contaminated generalised beta type-II distribution (2018)
  3. Fosdick, Bailey K.; Larremore, Daniel B.; Nishimura, Joel; Ugander, Johan: Configuring random graph models with fixed degree sequences (2018)
  4. Gao, Guangyuan; Meng, Shengwang: Stochastic claims reserving via a Bayesian spline model with random loss ratio effects (2018)
  5. Hu, Jingchen; Reiter, Jerome P.; Wang, Quanli: Dirichlet process mixture models for modeling and generating synthetic versions of nested categorical data (2018)
  6. Joyce, Kevin T.; Bardsley, Johnathan M.; Luttman, Aaron: Point spread function estimation in X-ray imaging with partially collapsed Gibbs sampling (2018)
  7. Kim, Andy S.I.; Wand, Matt P.: On expectation propagation for generalised, linear and mixed models (2018)
  8. Kızılaslan, Fatih; Nadar, Mustafa: Estimation of reliability in a multicomponent stress-strength model based on a bivariate Kumaraswamy distribution (2018)
  9. Liu, Baisen; Wang, Liangliang; Cao, Jiguo: Bayesian estimation of ordinary differential equation models when the likelihood has multiple local modes (2018)
  10. Overstall, Antony M.; McGree, James M.; Drovandi, Christopher C.: An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions (2018)
  11. Remo, Flavia; Luboobi, Livingstone S.; Mabalawata, Isambi Sailon; Nannyonga, Betty K.: A mathematical model for the dynamics and MCMC analysis of tomato bacterial wilt disease (2018)
  12. Selland Kleppe, Tore: Modified Cholesky Riemann manifold Hamiltonian Monte Carlo: exploiting sparsity for fast sampling of high-dimensional targets (2018)
  13. Shang, Yilun: False positive and false negative effects on network attacks (2018)
  14. Sidhu, Sukhmani; Jain, Kanchan; Sharma, Suresh Kumar: Bayesian estimation of generalized gamma shared frailty model (2018)
  15. Terres, Maria A.; Fuentes, Montserrat; Hesterberg, Dean; Polizzotto, Matthew: Bayesian spectral modeling for multivariate spatial distributions of elemental concentrations in soil (2018)
  16. Wang, Jiangyan; Yang, Miao; Majumdar, Anandamayee: Comparative study and sensitivity analysis of skewed spatial processes (2018)
  17. Wang, Yingfei; Powell, Warren B.: Finite-time analysis for the knowledge-gradient policy (2018)
  18. Ales, Laurence; Cho, Soo-Haeng; Körpeoğlu, Ersin: Optimal award scheme in innovation tournaments (2017)
  19. Alvares, Danilo; Armero, Carmen; Forte, Anabel; Chopin, Nicolas: Sequential Monte Carlo methods in random intercept models for longitudinal data (2017)
  20. Arnst, M.; Abello Álvarez, B.; Ponthot, J.-P.; Boman, R.: It^o-SDE MCMC method for Bayesian characterization of errors associated with data limitations in stochastic expansion methods for uncertainty quantification (2017)

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