References in zbMATH (referenced in 12 articles , 1 standard article )

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

  1. Schomaker, Michael; Heumann, Christian: When and when not to use optimal model averaging (2020)
  2. Leopoldo Catania; Nima Nonejad: Dynamic Model Averaging for Practitioners in Economics and Finance: The eDMA Package (2018) not zbMATH
  3. Luca Scrucca; Adrian Raftery: clustvarsel: A Package Implementing Variable Selection for Gaussian Model-Based Clustering in R (2018) not zbMATH
  4. Xu, Jing; Tong, Xing-wei; Wang, Fang; Chen, Jian-ping: Learning dynamic causal relationships among sugar prices (2017)
  5. Díaz González, Lucio; Sistachs Vega, Vivian del Rosario; Covarrubias Melgar, Dante; Cruz Velázquez, Ma. del Carmen; Hernández Nava, Imelda S.; Sánchez Castillo, Martha L.: Using the BMA in the logistic regression model and comparison with other model selection criteria (2016)
  6. Vincenzo Lagani, Giorgos Athineou, Alessio Farcomeni, Michail Tsagris, Ioannis Tsamardinos: Feature Selection with the R Package MXM: Discovering Statistically-Equivalent Feature Subsets (2016) arXiv
  7. Fraley, Chris; Percival, Daniel: Model-averaged (\ell_1) regularization using Markov chain Monte Carlo model composition (2015)
  8. Marcin Błażejowski; Jacek Kwiatkowski: Bayesian Model Averaging and Jointness Measures for gretl (2015) not zbMATH
  9. Schomaker, Michael; Heumann, Christian: Model selection and model averaging after multiple imputation (2014)
  10. Liu, Juxin; Gustafson, Paul: On the detectability of different forms of interaction in regression models (2012)
  11. De Giuli, Maria Elena; Maggi, Mario Alessandro; Tarantola, Claudia: Bayesian outlier detection in capital asset pricing model (2010)
  12. Buchholz, Anika; Holländer, Norbert; Sauerbrei, Willi: On properties of predictors derived with a two-step bootstrap model averaging approach -- a simulation study in the linear regression model (2008)