Show simple item record

dc.contributor.authorSpencer, Daniel
dc.contributor.authorYu (Ryan) Yue
dc.contributor.authorBolin, David
dc.contributor.authorRyan, Sarah
dc.contributor.authorMejia, Amanda F.
dc.date.accessioned2021-06-22T05:32:05Z
dc.date.available2021-06-22T05:32:05Z
dc.date.issued2021-01-08
dc.identifier.urihttp://hdl.handle.net/10754/669742
dc.description.abstractThis is a repository to keep track of code that is used to produce the analyses and figures for the BayesGLM Validation paper
dc.publisherGithub
dc.relation.urlhttps://github.com/danieladamspencer/BayesGLM_Validation
dc.titledanieladamspencer/BayesGLM_Validation: This is a repository to keep track of code that is used to produce the analyses and figures for the BayesGLM Validation paper
dc.typeSoftware
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.institutionDepartment of Statistics, Indiana University, Myles Brand Hall E104 901 E. 10th Street Bloomington, IN, 47408, USA
dc.contributor.institutionPaul H. Chook Department of Information Systems and Statistics, Baruch College, The City University of New York, New York, NY, 10010, USA
dc.contributor.institutionPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
kaust.personBolin, David
dc.relation.issupplementtoarXiv:2106.06669
display.relations<b>Is Supplement To:</b><br/> <ul><li><i>[Preprint]</i> <br/> Title: Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups. Publication Date: 2021-06-12. Handle: <a href="http://hdl.handle.net/10754/669604" >10754/669604</a> arXiv: <a href="https://arxiv.org/abs/2106.06669" >2106.06669</a></a></li></ul>
dc.identifier.githubdanieladamspencer/BayesGLM_Validation


This item appears in the following Collection(s)

Show simple item record