References in zbMATH (referenced in 15 articles )

Showing results 1 to 15 of 15.
Sorted by year (citations)

  1. González, Miguel; Gutiérrez, Cristina; Martínez, Rodrigo; Minuesa, Carmen; del Puerto, Inés M.: Bayesian analysis for controlled branching processes (2016)
  2. Kustosz, Christoph P.; Leucht, Anne; Müller, Christine H.: Tests based on simplicial depth for AR(1) models with explosion (2016)
  3. Zucknick, Manuela; Saadati, Maral; Benner, Axel: Nonidentical twins: comparison of frequentist and Bayesian lasso for Cox models (2015)
  4. Ahn, Jae Youn; Shyamalkumar, Nariankadu D.: Asymptotic theory for the empirical Haezendonck-Goovaerts risk measure (2014)
  5. Hofner, Benjamin; Mayr, Andreas; Robinzonov, Nikolay; Schmid, Matthias: Model-based boosting in R: a hands-on tutorial using the R package mboost (2014)
  6. Karl, Andrew T.; Eubank, Randy; Milovanovic, Jelena; Reiser, Mark; Young, Dennis: Using rngstreams for parallel random number generation in C++ and R (2014)
  7. Nagarajan, Radhakrishnan; Scutari, Marco; Lèbre, Sophie: Bayesian networks in R. With applications in systems biology (2013)
  8. Rasch, D.; Spangl, B.; Wang, M.: Minimal experimental size in the three way ANOVA cross classification model with approximate F-tests (2012)
  9. Yasser Gonzalez-Fernandez, Marta Soto: copulaedas: An R Package for Estimation of Distribution Algorithms Based on Copulas (2012) arXiv
  10. Ahn, Jae Youn; Shyamalkumar, Nariankadu D.: Large sample behavior of the CTE and VaR estimators under importance sampling (2011)
  11. Eugster, Manuel J.A.; Knaus, Jochen; Porzelius, Christine; Schmidberger, Markus; Vicedo, Esmeralda: Hands-on tutorial for parallel computing with R (2011)
  12. Porzelius, Christine: Model complexity selection in high-dimensional time-to-event data analysis (2011)
  13. Ahn, Jae Youn; Shyamalkumar, Nariankadu D.: An asymptotic analysis of the bootstrap bias correction for the empirical CTE (2010)
  14. Bjornson, Robert D.; Carriero, Nicholas J.; Schultz, Martin H.; Shields, Patrick M.; Weston, Stephen B.: NetWorkSpace: A coordination system for high-productivity environments (2009)
  15. Marco Scutari: Learning Bayesian Networks with the bnlearn R Package (2009) arXiv