References in zbMATH (referenced in 1137 articles )

Showing results 1 to 20 of 1137.
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  1. Bamber, Donald: A Bayesian dilemma (2021)
  2. Adhikari, Samrachana; Rose, Sherri; Normand, Sharon-Lise: Nonparametric Bayesian instrumental variable analysis: evaluating heterogeneous effects of coronary arterial access site strategies (2020)
  3. Ajdari, Ali; Saberian, Fatemeh; Ghate, Archis: A theoretical framework for learning tumor dose-response uncertainty in individualized spatiobiologically integrated radiotherapy (2020)
  4. 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)
  5. Bardsley, Johnathan M.; Hansen, Per Christian: MCMC algorithms for computational UQ of nonnegativity constrained linear inverse problems (2020)
  6. Bauder, David; Bodnar, Taras; Parolya, Nestor; Schmid, Wolfgang: Bayesian inference of the multi-period optimal portfolio for an exponential utility (2020)
  7. 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)
  8. Belomestny, D.; Iosipoi, L.; Moulines, E.; Naumov, A.; Samsonov, S.: Variance reduction for Markov chains with application to MCMC (2020)
  9. Bertoli, Wesley; Conceição, Katiane S.; Andrade, Marinho G.; Louzada, Francisco: A Bayesian approach for some zero-modified Poisson mixture models (2020)
  10. Borggaard, Jeff; Glatt-Holtz, Nathan; Krometis, Justin: A Bayesian approach to estimating background flows from a passive scalar (2020)
  11. Bradley, Jonathan R.; Holan, Scott H.; Wikle, Christopher K.: Bayesian hierarchical models with conjugate full-conditional distributions for dependent data from the natural exponential family (2020)
  12. Butler, Troy; Wildey, T.; Yen, Tian Yu: Data-consistent inversion for stochastic input-to-output maps (2020)
  13. Chen, Jinsong: A partially confirmatory approach to the multidimensional item response theory with the Bayesian Lasso (2020)
  14. Chen, Shea D.; Lim, Andrew E. B.: A generalized Black-Litterman model (2020)
  15. Chen, Ye; Ryzhov, Ilya O.: Technical note: Consistency analysis of sequential learning under approximate Bayesian inference (2020)
  16. Chiu, Sung Nok; Ling, Leevan; McCourt, Michael: On variable and random shape Gaussian interpolations (2020)
  17. Chua, Alvin J. K.: Sampling from manifold-restricted distributions using tangent bundle projections (2020)
  18. da Conceição Amorim, Erick; Mayrink, Vinícius Diniz: Clustering non-linear interactions in factor analysis (2020)
  19. Di Brisco, Agnese Maria; Migliorati, Sonia; Ongaro, Andrea: Robustness against outliers: a new variance inflated regression model for proportions (2020)
  20. Fisher, Christopher R.; Houpt, Joseph W.; Gunzelmann, Glenn: Developing memory-based models of ACT-R within a statistical framework (2020)

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