An efficient stochastic search for Bayesian variable selection with high-dimensional correlated predictors
D Kwon, MT Landi, M Vannucci, HJ Issaq… - … statistics & data analysis, 2011 - Elsevier
We present a Bayesian variable selection method for the setting in which the number of
independent variables or predictors in a particular dataset is much larger than the available …
independent variables or predictors in a particular dataset is much larger than the available …
An efficient stochastic search for Bayesian variable selection with high-dimensional correlated predictors
D Kwon, MT Landi, M Vannucci… - … Statistics & Data …, 2011 - econpapers.repec.org
We present a Bayesian variable selection method for the setting in which the number of
independent variables or predictors in a particular dataset is much larger than the available …
independent variables or predictors in a particular dataset is much larger than the available …
An efficient stochastic search for Bayesian variable selection with high-dimensional correlated predictors
D Kwon, MT Landi, M Vannucci, HJ Issaq… - … Statistics and Data …, 2011 - infona.pl
We present a Bayesian variable selection method for the setting in which the number of
independent variables or predictors in a particular dataset is much larger than the available …
independent variables or predictors in a particular dataset is much larger than the available …
An efficient stochastic search for Bayesian variable selection with high-dimensional correlated predictors
D Kwon, MT Landi, M Vannucci… - … statistics & data …, 2011 - scholarship.miami.edu
We present a Bayesian variable selection method for the setting in which the number of
independent variables or predictors in a particular dataset is much larger than the available …
independent variables or predictors in a particular dataset is much larger than the available …
[PDF][PDF] An efficient stochastic search for Bayesian variable selection with high-dimensional correlated predictors
D Kwon, MT Landi, M Vannucci, HJ Issaq… - … Statistics and Data …, 2011 - stat.rice.edu
In genomic experiments and other molecular studies one frequently encounters very high-
dimensional data. Microarrays simultaneously monitor expression levels for several …
dimensional data. Microarrays simultaneously monitor expression levels for several …
An Efficient Stochastic Search for Bayesian Variable Selection with High-Dimensional Correlated Predictors
D Kwon, MT Landi, M Vannucci… - … statistics & data …, 2011 - pubmed.ncbi.nlm.nih.gov
We present a Bayesian variable selection method for the setting in which the number of
independent variables or predictors in a particular dataset is much larger than the available …
independent variables or predictors in a particular dataset is much larger than the available …
An efficient stochastic search for Bayesian variable selection with high-dimensional correlated predictors
D Kwon, MT Landi, M Vannucci, HJ Issaq… - … Statistics & Data …, 2011 - dl.acm.org
We present a Bayesian variable selection method for the setting in which the number of
independent variables or predictors in a particular dataset is much larger than the available …
independent variables or predictors in a particular dataset is much larger than the available …
An Efficient Stochastic Search for Bayesian Variable Selection with High-Dimensional Correlated Predictors.
D Kwon, MT Landi, M Vannucci, HJ Issaq… - … Statistics & Data …, 2011 - europepmc.org
We present a Bayesian variable selection method for the setting in which the number of
independent variables or predictors in a particular dataset is much larger than the available …
independent variables or predictors in a particular dataset is much larger than the available …
An efficient stochastic search for Bayesian variable selection with high-dimensional correlated predictors
D Kwon, MT Landi, M Vannucci, HJ Issaq… - … Statistics & Data …, 2011 - ideas.repec.org
We present a Bayesian variable selection method for the setting in which the number of
independent variables or predictors in a particular dataset is much larger than the available …
independent variables or predictors in a particular dataset is much larger than the available …
[引用][C] An efficient stochastic search for Bayesian variable selection with high-dimensional correlated predictors
D KWON, MT LANDI, M VANNUCCI… - … statistics & data …, 2011 - pascal-francis.inist.fr
An efficient stochastic search for Bayesian variable selection with high-dimensional
correlated predictors CNRS Inist Pascal-Francis CNRS Pascal and Francis Bibliographic …
correlated predictors CNRS Inist Pascal-Francis CNRS Pascal and Francis Bibliographic …