%0 Journal Article %1 lee_frequentist_2011 %A Lee, Albert H. %A Boone, Edward L. %D 2011 %J Journal of Statistical Computation and Simulation %K I approach, averaging, bayesian error frequentist model type %N 9 %P 1111--1119 %R 10.1080/00949651003702135 %T A frequentist assessment of Bayesian inclusion probabilities for screening predictors %U http://www.tandfonline.com/doi/abs/10.1080/00949651003702135 %V 81 %X Bayesian inclusion probabilities have become a popular tool for variable assessment. From a frequentist perspective, it is often difficult to evaluate these probabilities as typically no Type I error rates are considered, neither are any explorations of power of the methods given. This paper considers how a frequentist may evaluate Bayesian inclusion probabilities for screening predictors. This evaluation looks at both unrestricted and restricted model spaces and develops a framework which a frequentist can utilize inclusion probabilities that preserve Type I error rates. Furthermore, this framework is applied to an analysis of the Arabidopsis thaliana with respect to determining quantitative trait loci associated with cotelydon opening angle.

@article{lee_frequentist_2011, abstract = {Bayesian inclusion probabilities have become a popular tool for variable assessment. From a frequentist perspective, it is often difficult to evaluate these probabilities as typically no Type I error rates are considered, neither are any explorations of power of the methods given. This paper considers how a frequentist may evaluate Bayesian inclusion probabilities for screening predictors. This evaluation looks at both unrestricted and restricted model spaces and develops a framework which a frequentist can utilize inclusion probabilities that preserve Type I error rates. Furthermore, this framework is applied to an analysis of the Arabidopsis thaliana with respect to determining quantitative trait loci associated with cotelydon opening angle.}, added-at = {2017-01-09T13:57:26.000+0100}, author = {Lee, Albert H. and Boone, Edward L.}, biburl = {https://www.bibsonomy.org/bibtex/2e797762e3f08d0dc3747ce9390f3ddad/yourwelcome}, doi = {10.1080/00949651003702135}, interhash = {d0594034238333f271b7adc367391e84}, intrahash = {e797762e3f08d0dc3747ce9390f3ddad}, issn = {0094-9655, 1563-5163}, journal = {Journal of Statistical Computation and Simulation}, keywords = {I approach, averaging, bayesian error frequentist model type}, language = {en}, month = sep, number = 9, pages = {1111--1119}, timestamp = {2017-01-09T14:01:11.000+0100}, title = {A frequentist assessment of {Bayesian} inclusion probabilities for screening predictors}, url = {http://www.tandfonline.com/doi/abs/10.1080/00949651003702135}, urldate = {2016-11-30}, volume = 81, year = 2011 }