References in zbMATH (referenced in 104 articles , 1 standard article )

Showing results 1 to 20 of 104.
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  1. 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)
  2. Elster, Clemens; Wübbeler, Gerd: Bayesian inference using a noninformative prior for linear Gaussian random coefficient regression with inhomogeneous within-class variances (2017)
  3. Ferreira, Dário; Ferreira, Sandra; Nunes, Célia; Fonseca, Miguel; Silva, Adilson; Mexia, João T.: Estimation and incommutativity in mixed models (2017)
  4. Groll, Andreas; Tutz, Gerhard: Variable selection in discrete survival models including heterogeneity (2017)
  5. Hämäläinen, Raimo P.; Leppänen, Ilkka: Cheap talk and cooperation in Stackelberg games (2017)
  6. Kühnel, Line; Sommer, Stefan; Pai, Akshay; Raket, Lars Lau: Most likely separation of intensity and warping effects in image registration (2017)
  7. Pande, Amol; Li, Liang; Rajeswaran, Jeevanantham; Ehrlinger, John; Kogalur, Udaya B.; Blackstone, Eugene H.; Ishwaran, Hemant: Boosted multivariate trees for longitudinal data (2017)
  8. Sacco, Chiara; Viroli, Cinzia; Falchi, Mario: A statistical test for detecting parent-of-origin effects when parental information is missing (2017)
  9. Wood, Simon N.: Generalized additive models. An introduction with R. (2017)
  10. Costa Mota Paraíba, Carolina; Ribeiro Diniz, Carlos Alberto: Randomly truncated nonlinear mixed-effects models (2016)
  11. Faraway, Julian J.: Extending the linear model with R. Generalized linear, mixed effects and nonparametric regression models. (2016)
  12. Furlan, Sarah; Agnoli, Franca; Reyna, Valerie F.: Intuition and analytic processes in probabilistic reasoning: the role of time pressure (2016) MathEduc
  13. Heinzl, Felix; Tutz, Gerhard: Additive mixed models with approximate Dirichlet process mixtures: the EM approach (2016)
  14. Katahira, Kentaro: How hierarchical models improve point estimates of model parameters at the individual level (2016)
  15. Kogan, Clark; Kalachev, Leonid; Van Dongen, Hans P.A.: Prediction accuracy in multivariate repeated-measures Bayesian forecasting models with examples drawn from research on sleep and circadian rhythms (2016)
  16. Kohli, Nidhi; Harring, Jeffrey R.; Zopluoglu, Cengiz: A finite mixture of nonlinear random coefficient models for continuous repeated measures data (2016)
  17. Matos, Larissa A.; Castro, Luis M.; Lachos, Víctor H.: Censored mixed-effects models for irregularly observed repeated measures with applications to HIV viral loads (2016)
  18. Wang, Wei: Identifiability of covariance parameters in linear mixed effects models (2016)
  19. Kreutz, Clemens; Raue, Andreas; Timmer, Jens: Statistics for model calibration (2015)
  20. Sengupta, Dishari; Choudhary, Pankaj K.; Cassey, Phillip: Modeling and analysis of method comparison data with skewness and heavy tails (2015)

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