Scalable Bayesian variable selection for structured high-dimensional data
Variable selection for structured covariates lying on an underlying known graph is a problem
motivated by practical applications, and has been a topic of increasing interest. However …
motivated by practical applications, and has been a topic of increasing interest. However …
Scalable Bayesian Variable Selection for Structured High-dimensional Data
C Chang, S Kundu, Q Long - arXiv preprint arXiv:1604.07264, 2016 - arxiv.org
Variable selection for structured covariates lying on an underlying known graph is a problem
motivated by practical applications, and has been a topic of increasing interest. However …
motivated by practical applications, and has been a topic of increasing interest. However …
Scalable Bayesian variable selection for structured high-dimensional data.
C Chang, S Kundu, Q Long - Biometrics, 2018 - europepmc.org
Variable selection for structured covariates lying on an underlying known graph is a problem
motivated by practical applications, and has been a topic of increasing interest. However …
motivated by practical applications, and has been a topic of increasing interest. However …
Scalable Bayesian variable selection for structured high‐dimensional data
C Chang, S Kundu, Q Long - Biometrics, 2018 - ideas.repec.org
Variable selection for structured covariates lying on an underlying known graph is a problem
motivated by practical applications, and has been a topic of increasing interest. However …
motivated by practical applications, and has been a topic of increasing interest. However …
Scalable Bayesian variable selection for structured high-dimensional data
C Chang, S Kundu, Q Long - Biometrics, 2018 - pubmed.ncbi.nlm.nih.gov
Variable selection for structured covariates lying on an underlying known graph is a problem
motivated by practical applications, and has been a topic of increasing interest. However …
motivated by practical applications, and has been a topic of increasing interest. However …
[PDF][PDF] Scalable Bayesian Variable Selection for Structured High-dimensional Data
C Chang, S Kundu, Q Long - arXiv preprint arXiv:1604.07264, 2016 - researchgate.net
Variable selection for structured covariates lying on an underlying known graph is a problem
motivated by practical applications, and has been a topic of increasing interest. However …
motivated by practical applications, and has been a topic of increasing interest. However …
[HTML][HTML] Scalable Bayesian Variable Selection for Structured High-dimensional Data
C Chang, S Kundu, Q Long - Biometrics, 2018 - ncbi.nlm.nih.gov
Variable selection for structured covariates lying on an underlying known graph is a problem
motivated by practical applications, and has been a topic of increasing interest. However …
motivated by practical applications, and has been a topic of increasing interest. However …
Scalable Bayesian variable selection for structured high‐dimensional data
C Chang, S Kundu, Q Long - Biometrics, 2018 - econpapers.repec.org
Variable selection for structured covariates lying on an underlying known graph is a problem
motivated by practical applications, and has been a topic of increasing interest. However …
motivated by practical applications, and has been a topic of increasing interest. However …
Scalable Bayesian variable selection for structured high‐dimensional data.
C Chang, S Kundu, Q Long - Biometrics, 2018 - search.ebscohost.com
Variable selection for structured covariates lying on an underlying known graph is a problem
motivated by practical applications, and has been a topic of increasing interest. However …
motivated by practical applications, and has been a topic of increasing interest. However …
Scalable Bayesian Variable Selection for Structured High-dimensional Data
C Chang, S Kundu, Q Long - arXiv e-prints, 2016 - ui.adsabs.harvard.edu
Variable selection for structured covariates lying on an underlying known graph is a problem
motivated by practical applications, and has been a topic of increasing interest. However …
motivated by practical applications, and has been a topic of increasing interest. However …