References in zbMATH (referenced in 1160 articles )

Showing results 1 to 20 of 1160.
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  1. Bamber, Donald: A Bayesian dilemma (2021)
  2. Bauder, David; Bodnar, Taras; Parolya, Nestor; Schmid, Wolfgang: Bayesian mean-variance analysis: optimal portfolio selection under parameter uncertainty (2021)
  3. Chang, Tsung-Sheng; Tone, Kaoru; Wu, Chen-Hui: Nested dynamic network data envelopment analysis models with infinitely many decision making units for portfolio evaluation (2021)
  4. Doğan, Osman; Taşpınar, Süleyman; Bera, Anil K.: A Bayesian robust chi-squared test for testing simple hypotheses (2021)
  5. Girolami, Mark; Febrianto, Eky; Yin, Ge; Cirak, Fehmi: The statistical finite element method (statFEM) for coherent synthesis of observation data and model predictions (2021)
  6. Guha, Sharmistha; Rodriguez, Abel: Bayesian regression with undirected network predictors with an application to brain connectome data (2021)
  7. Hu, Guanyu; Wang, Haiying: Most likely optimal subsampled Markov chain Monte Carlo (2021)
  8. Karimi, Ahmad; Taghizadeh, Leila; Heitzinger, Clemens: Optimal Bayesian experimental design for electrical impedance tomography in medical imaging (2021)
  9. Li, Wenyu; Hegde, Arun; Oreluk, James; Packard, Andrew; Frenklach, Michael: Representing model discrepancy in bound-to-bound data collaboration (2021)
  10. Mauff, Katya; Erler, Nicole S.; Kardys, Isabella; Rizopoulos, Dimitris: Pairwise estimation of multivariate longitudinal outcomes in a Bayesian setting with extensions to the joint model (2021)
  11. McDonald, Shaun; Campbell, David: A review of uncertainty quantification for density estimation (2021)
  12. Okhli, Kheirolah; Jabbari Nooghabi, Mehdi: On the contaminated exponential distribution: a theoretical Bayesian approach for modeling positive-valued insurance claim data with outliers (2021)
  13. Subedi, Sanjeena; McNicholas, Paul D.: A variational approximations-DIC rubric for parameter estimation and mixture model selection within a family setting (2021)
  14. Adhikari, Samrachana; Rose, Sherri; Normand, Sharon-Lise: Nonparametric Bayesian instrumental variable analysis: evaluating heterogeneous effects of coronary arterial access site strategies (2020)
  15. Ajdari, Ali; Saberian, Fatemeh; Ghate, Archis: A theoretical framework for learning tumor dose-response uncertainty in individualized spatiobiologically integrated radiotherapy (2020)
  16. Antonelli, Joseph; Mazumdar, Maitreyi; Bellinger, David; Christiani, David; Wright, Robert; Coull, Brent: Estimating the health effects of environmental mixtures using Bayesian semiparametric regression and sparsity inducing priors (2020)
  17. Aw, Alassane; Cabral, Emmanuel Nicolas: Bayesian estimation of the functional spatial lag model (2020)
  18. Bardsley, Johnathan M.; Hansen, Per Christian: MCMC algorithms for computational UQ of nonnegativity constrained linear inverse problems (2020)
  19. Bauder, David; Bodnar, Taras; Parolya, Nestor; Schmid, Wolfgang: Bayesian inference of the multi-period optimal portfolio for an exponential utility (2020)
  20. Bauer, Alexander; Bender, Andreas; Klima, André; Küchenhoff, Helmut: KOALA: a new paradigm for election coverage. An opinion poll-based “now-cast” of probabilities of events in multi-party electoral systems (2020)

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