Marina Vannucci

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Michele GuindaniDepartment of Biostatistics, University of California, Los AngelesEmail verificata su ucla.edu
Mahlet G. TadesseProfessor & Chair, Georgetown UniversityEmail verificata su georgetown.edu
Francesco C. StingoProfessor of Statistics, University of FlorenceEmail verificata su unifi.it
Philip BrownProfessor of Statistics, University of Kent, UKEmail verificata su kent.ac.uk
Christine B. PetersonAssociate Professor of Biostatistics, University of Texas MD Anderson Cancer CenterEmail verificata su mdanderson.org
Naijun ShaUniversity of Texas at El PasoEmail verificata su utep.edu
Tom FearnProfessor of Applied Statistics, UCLEmail verificata su stats.ucl.ac.uk
Sharon ChiangDepartment of Neurology, University of California, San FranciscoEmail verificata su ucsf.edu
David B. DahlDepartment of Statistics, Brigham Young UniversityEmail verificata su stat.byu.edu
Francesco FalcianiChair in Integrative Computational Biology, University of Liverpool, UKEmail verificata su liverpool.ac.uk
Zulfi HaneefAssociate Professor of Neurology, Baylor College of MedicineEmail verificata su bcm.edu
Qianxing MoH. Lee Moffitt Cancer Center & Research InstituteEmail verificata su moffitt.org
Cassese AlbertoUniversity of FlorenceEmail verificata su unifi.it
John M. SternUCLA Dept. of NeurologyEmail verificata su ucla.edu
Pietro LiòProfessor, University of CambridgeEmail verificata su cam.ac.uk
Deukwoo KwonThe University of Texas Health Science Center at HoustonEmail verificata su uth.tmc.edu
Matthew KoslovskyColorado State UniversityEmail verificata su colostate.edu
Francesco VersaceAssociate Professor, The University of Texas MD Anderson Cancer CenterEmail verificata su mdanderson.org
A. L. Narasimha ReddyTexas A&M UniversityEmail verificata su ece.tamu.edu
Donald Kleinprofessor psychiatry emeritus columbia universityEmail verificata su columbia.edu

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Marina Vannucci

Noah Harding Professor of Statistics, Rice University

Email verificata su rice.edu - Home page

Bayesian Statistics Graphical Models Statistical Computing Variable Selection Wavelets


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Bayesian statistics and modelling R van de Schoot, S Depaoli, R King, B Kramer, K Märtens, MG Tadesse, ... Nature Reviews Methods Primers 1 (1), 1, 2021	860	2021
Multivariate Bayesian variable selection and prediction PJ Brown, M Vannucci, T Fearn Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1998	495	1998
Gene selection: a Bayesian variable selection approach KE Lee, N Sha, ER Dougherty, M Vannucci, BK Mallick Bioinformatics 19 (1), 90-97, 2003	458	2003
Bayesian variable selection in clustering high-dimensional data MG Tadesse, N Sha, M Vannucci Journal of the American Statistical Association 100 (470), 602-617, 2005	316	2005
Variable selection in clustering via Dirichlet process mixture models S Kim, MG Tadesse, M Vannucci Biometrika 93 (4), 877-893, 2006	243	2006
Bayesian inference of multiple Gaussian graphical models C Peterson, FC Stingo, M Vannucci Journal of the American Statistical Association 110 (509), 159-174, 2015	226	2015
Bayesian wavelet regression on curves with application to a spectroscopic calibration problem PJ Brown, T Fearn, M Vannucci Journal of the American Statistical Association 96 (454), 398-408, 2001	220	2001
A fully Bayesian latent variable model for integrative clustering analysis of multi-type omics data Q Mo, R Shen, C Guo, M Vannucci, KS Chan, SG Hilsenbeck Biostatistics 19 (1), 71-86, 2018	218	2018
Bayes model averaging with selection of regressors PJ Brown, M Vannucci, T Fearn Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2002	218	2002
Incorporating biological information into linear models: A Bayesian approach to the selection of pathways and genes FC Stingo, YA Chen, MG Tadesse, M Vannucci The annals of applied statistics 5 (3), 1978-2002, 2011	187	2011
Bayesian variable selection in multinomial probit models to identify molecular signatures of disease stage N Sha, M Vannucci, MG Tadesse, PJ Brown, I Dragoni, N Davies, ... Biometrics 60 (3), 812-819, 2004	179	2004
Decomposing intra-subject variability in children with attention-deficit/hyperactivity disorder A Di Martino, M Ghaffari, J Curchack, P Reiss, C Hyde, M Vannucci, ... Biological psychiatry 64 (7), 607-614, 2008	169	2008
Wavelet-based nonparametric modeling of hierarchical functions in colon carcinogenesis JS Morris, M Vannucci, PJ Brown, RJ Carroll Journal of the American Statistical Association 98 (463), 573-583, 2003	161	2003
Bayesian inference for gene expression and proteomics KA Do, P Müller, M Vannucci Cambridge University Press, 2006	132	2006
Bayesian variable selection for the analysis of microarray data with censored outcomes N Sha, MG Tadesse, M Vannucci Bioinformatics 22 (18), 2262-2268, 2006	122	2006
Detecting traffic anomalies through aggregate analysis of packet header data SS Kim, ALN Reddy, M Vannucci International Conference on Research in Networking, 1047-1059, 2004	122	2004
Variable selection for nonparametric Gaussian process priors: Models and computational strategies T Savitsky, M Vannucci, N Sha Statistical science: a review journal of the Institute of Mathematical …, 2011	117	2011
A microarray analysis of sex-and gonad-biased gene expression in the zebrafish: evidence for masculinization of the transcriptome CM Small, GE Carney, Q Mo, M Vannucci, AG Jones BMC Genomics 10 (1), 579, 2009	113	2009
Wavelet change-point prediction of transmembrane proteins P Lio, M Vannucci Bioinformatics 16 (4), 376-382, 2000	112	2000
The choice of variables in multivariate regression: a non-conjugate Bayesian decision theory approach BJ Brown, T Fearn, M Vannucci Biometrika 86 (3), 635-648, 1999	107	1999

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