References in zbMATH (referenced in 12 articles )

Showing results 1 to 12 of 12.
Sorted by year (citations)

  1. Gregor Zens, Sylvia Frühwirth-Schnatter, Helga Wagner: Efficient Bayesian Modeling of Binary and Categorical Data in R: The UPG Package (2021) arXiv
  2. Alkhairy, Ibrahim; Low-Choy, Samantha; Murray, Justine; Wang, Junhu; Pettitt, Anthony: Quantifying conditional probability tables in Bayesian networks: Bayesian regression for scenario-based encoding of elicited expert assessments on feral pig habitat (2020)
  3. Schomaker, Michael; Heumann, Christian: When and when not to use optimal model averaging (2020)
  4. Fu, Wenbo; Narayan, Debnath: Optimization algorithm for embedded Linux remote video monitoring system oriented to the Internet of things (IoT) (2019)
  5. Madsen, Tobias; Świtnicki, Michał; Juul, Malene; Skou Pedersen, Jakob: \textttEBADIMEX: an empirical Bayes approach to detect joint differential expression and methylation and to classify samples (2019)
  6. Cho, Sun-Joo; Brown-Schmidt, Sarah; Lee, Woo-Yeol: Autoregressive generalized linear mixed effect models with crossed random effects: an application to intensive binary time series eye-tracking data (2018)
  7. Ghosh, Joyee; Li, Yingbo; Mitra, Robin: On the use of Cauchy prior distributions for Bayesian logistic regression (2018)
  8. Van der Laan, Mark J.; Rose, Sherri: Targeted learning in data science. Causal inference for complex longitudinal studies (2018)
  9. Jenny Häggström and Emma Persson and Ingeborg Waernbaum and Xavier de Luna: CovSel: An R Package for Covariate Selection When Estimating Average Causal Effects (2015) not zbMATH
  10. Taddy, Matt: Multinomial inverse regression for text analysis (2013)
  11. Steven Walker; Guillaume Guénard; Péter Sólymos; Pierre Legendre: Multiple-Table Data in R with the multitable Package (2012) not zbMATH
  12. Yu-Sung Su; Andrew Gelman; Jennifer Hill; Masanao Yajima: Multiple Imputation with Diagnostics (mi) in R: Opening Windows into the Black Box (2011) not zbMATH