References in zbMATH (referenced in 31 articles , 1 standard article )

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  1. Wan, Kitty Yuen Yi; Griffin, Jim E.: An adaptive MCMC method for Bayesian variable selection in logistic and accelerated failure time regression models (2021)
  2. Dufays, Arnaud; Rombouts, Jeroen V. K.: Relevant parameter changes in structural break models (2020)
  3. Li, Zehang Richard; McComick, Tyler H.; Clark, Samuel J.: Using Bayesian latent Gaussian graphical models to infer symptom associations in verbal autopsies (2020)
  4. Posch, Konstantin; Arbeiter, Maximilian; Pilz, Juergen: A novel Bayesian approach for variable selection in linear regression models (2020)
  5. Ruffieux, Hélène; Davison, Anthony C.; Hager, Jörg; Inshaw, Jamie; Fairfax, Benjamin P.; Richardson, Sylvia; Bottolo, Leonardo: A global-local approach for detecting hotspots in multiple-response regression (2020)
  6. Yang, Xinming; Narisetty, Naveen N.: Consistent group selection with Bayesian high dimensional modeling (2020)
  7. De Wiel, Mark A. van; Te Beest, Dennis E.; Münch, Magnus M.: Learning from a lot: empirical Bayes for high-dimensional model-based prediction (2019)
  8. Gan, Lingrui; Narisetty, Naveen N.; Liang, Feng: Bayesian regularization for graphical models with unequal shrinkage (2019)
  9. Gutiérrez, Luis; Barrientos, Andrés F.; González, Jorge; Taylor-Rodríguez, Daniel: A Bayesian nonparametric multiple testing procedure for comparing several treatments against a control (2019)
  10. Moran, Gemma E.; Ročková, Veronika; George, Edward I.: Variance prior forms for high-dimensional Bayesian variable selection (2019)
  11. Narisetty, Naveen N.; Shen, Juan; He, Xuming: Skinny Gibbs: a consistent and scalable Gibbs sampler for model selection (2019)
  12. Ning, Bo; Ghosal, Subhashis; Thomas, Jewell: Bayesian method for causal inference in spatially-correlated multivariate time series (2019)
  13. Ni, Yang; Stingo, Francesco C.; Baladandayuthapani, Veerabhadran: Bayesian graphical regression (2019)
  14. Zhang, Chun-Xia; Xu, Shuang; Zhang, Jiang-She: A novel variational Bayesian method for variable selection in logistic regression models (2019)
  15. Consonni, Guido; Fouskakis, Dimitris; Liseo, Brunero; Ntzoufras, Ioannis: Prior distributions for objective Bayesian analysis (2018)
  16. Du, Xingqi; Ghosal, Subhashis: Bayesian discriminant analysis using a high dimensional predictor (2018)
  17. Fouskakis, Dimitris; Ntzoufras, Ioannis; Perrakis, Konstantinos: Power-expected-posterior priors for generalized linear models (2018)
  18. Linero, Antonio R.: Bayesian regression trees for high-dimensional prediction and variable selection (2018)
  19. Miranda, Michelle F.; Zhu, Hongtu; Ibrahim, Joseph G.: TPRM: tensor partition regression models with applications in imaging biomarker detection (2018)
  20. Ročková, Veronika: Bayesian estimation of sparse signals with a continuous spike-and-slab prior (2018)

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