References in zbMATH (referenced in 630 articles )

Showing results 1 to 20 of 630.
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  1. Alvares, Danilo; Armero, Carmen; Forte, Anabel; Chopin, Nicolas: Sequential Monte Carlo methods in random intercept models for longitudinal data (2017)
  2. Bod’a, Martin: Stochastic sensitivity analysis of concentration measures (2017)
  3. Bollinger, Christopher R.; van Hasselt, Martijn: Bayesian moment-based inference in a regression model with misclassification error (2017)
  4. Browning, Alexander P.; McCue, Scott W.; Simpson, Matthew J.: A Bayesian computational approach to explore the optimal duration of a cell proliferation assay (2017)
  5. Bun, Joël; Bouchaud, Jean-Philippe; Potters, Marc: Cleaning large correlation matrices: tools from random matrix theory (2017)
  6. Collis, Joe; Connor, Anthony J.; Paczkowski, Marcin; Kannan, Pavitra; Pitt-Francis, Joe; Byrne, Helen M.; Hubbard, Matthew E.: Bayesian calibration, validation and uncertainty quantification for predictive modelling of tumour growth: a tutorial (2017)
  7. Davies, Vinny; Reeve, Richard; Harvey, William T.; Maree, Francois F.; Husmeier, Dirk: A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution (2017)
  8. Geppert, Leo N.; Ickstadt, Katja; Munteanu, Alexander; Quedenfeld, Jens; Sohler, Christian: Random projections for Bayesian regression (2017)
  9. Ghosh, Indrajit; Sardar, Tridip; Chattopadhyay, Joydev: A mathematical study to control visceral leishmaniasis: an application to South Sudan (2017)
  10. Hagar, Y.; Hayden, M.; Wiedinmyer, C.; Dukic, V.: Comparison of models analyzing a small number of observed meningitis cases in Navrongo, Ghana (2017)
  11. Han, Xiao; Zou, Chen-chen; Fang, Xiang-zhong: Early screening of ovarian cancer (2017)
  12. Hawkins, Guy E.; Mittner, Matthias; Forstmann, Birte U.; Heathcote, Andrew: On the efficiency of neurally-informed cognitive models to identify latent cognitive states (2017)
  13. Huang, Yangxin; Lu, Tao: Bayesian inference on partially linear mixed-effects joint models for longitudinal data with multiple features (2017)
  14. Leppä-aho, Janne; Pensar, Johan; Roos, Teemu; Corander, Jukka: Learning Gaussian graphical models with fractional marginal pseudo-likelihood (2017)
  15. Lu, Tao: Bayesian inference on longitudinal-survival data with multiple features (2017)
  16. Martínez, Carlos Alberto; Khare, Kshitij; Banerjee, Arunava; Elzo, Mauricio A.: Joint genome-wide prediction in several populations accounting for randomness of genotypes: a hierarchical Bayes approach. I: Multivariate Gaussian priors for marker effects and derivation of the joint probability mass function of genotypes (2017)
  17. Mulder, Kees; Klugkist, Irene: Bayesian estimation and hypothesis tests for a circular Generalized Linear Model (2017)
  18. Park, Jincheol; Lin, Shili: A random effect model for reconstruction of spatial chromatin structure (2017)
  19. Parton, A.; Blackwell, P.G.: Bayesian inference for multistate `step and turn’ animal movement in continuous time (2017)
  20. Raim, Andrew M.; Neerchal, Nagaraj K.; Morel, Jorge G.: An approximation to the information matrix of exponential family finite mixtures (2017)

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