References in zbMATH (referenced in 997 articles )

Showing results 1 to 20 of 997.
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  1. 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)
  2. Bardsley, Johnathan M.; Hansen, Per Christian: MCMC algorithms for computational UQ of nonnegativity constrained linear inverse problems (2020)
  3. Bauder, David; Bodnar, Taras; Parolya, Nestor; Schmid, Wolfgang: Bayesian inference of the multi-period optimal portfolio for an exponential utility (2020)
  4. 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)
  5. Chiu, Sung Nok; Ling, Leevan; McCourt, Michael: On variable and random shape Gaussian interpolations (2020)
  6. Chua, Alvin J. K.: Sampling from manifold-restricted distributions using tangent bundle projections (2020)
  7. Flegg, Jennifer A.; Menon, Shakti N.; Byrne, Helen M.; McElwain, D. L. Sean: A current perspective on wound healing and tumour-induced angiogenesis (2020)
  8. Hall, Cameron L.; Porter, Mason A.; Dawkins, Marian S.: Dominance, sharing, and assessment in an iterated hawk-dove game (2020)
  9. Jokhadze, Valeriane; Schmidt, Wolfgang M.: Measuring model risk in financial risk management and pricing (2020)
  10. Kamranfar, H.; Etminan, J.; Chahkandi, M.: Statistical inference for a repairable system subject to shocks: classical vs. Bayesian (2020)
  11. Karasözen, Ezgi; Karasözen, Bülent: Earthquake location methods (2020)
  12. Kissas, Georgios; Yang, Yibo; Hwuang, Eileen; Witschey, Walter R.; Detre, John A.; Perdikaris, Paris: Machine learning in cardiovascular flows modeling: predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks (2020)
  13. Kunihama, Tsuyoshi; Li, Zehang Richard; Clark, Samuel J.; Mccormick, Tyler H.: Bayesian factor models for probabilistic cause of death assessment with verbal autopsies (2020)
  14. Lee, Michael D.; Bock, Jason R.; Cushman, Isaiah; Shankle, William R.: An application of multinomial processing tree models and Bayesian methods to understanding memory impairment (2020)
  15. Li, Yong; Yu, Jun; Zeng, Tao: Deviance information criterion for latent variable models and misspecified models (2020)
  16. Lv, Didi; Zhou, Qingping; Choi, Jae Kyu; Li, Jinglai; Zhang, Xiaoqun: Nonlocal TV-Gaussian prior for Bayesian inverse problems with applications to limited CT reconstruction (2020)
  17. Overstall, Antony; Mcgree, James: Bayesian design of experiments for intractable likelihood models using coupled auxiliary models and multivariate emulation (2020)
  18. Piironen, Juho; Paasiniemi, Markus; Vehtari, Aki: Projective inference in high-dimensional problems: prediction and feature selection (2020)
  19. Rodriguez, Sergio; Ludkovski, Michael: Probabilistic bisection with spatial metamodels (2020)
  20. Schäfer, Moritz; Götz, Thomas: Modelling Dengue fever epidemics in Jakarta (2020)

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