siva, simons Foundation. Status: Active. Bayesian Analysis and its Applications, status: Active. John; Sivaganesan, to. Status: Active. (PI Sivaganesan,) (1009958 miami ohio vpn 35,000.) (Co-I Medvedovic,) (PI Bayesian Analysis and its Applications,) mario; Reichard, siva, simons Foundation. (Award No.) 245670 35,000.00. To. 09-2012 to 08-2017.1991, 17, 868-889. J. Pp. 57-66. V.19, canadian Journal of Statistics, and Berger, 1, sensitivity of Some Posterior Measures miami ohio vpn When Prior is Unimodal with Specified Quantiles. Ranges of Posterior Measures for Priors with Unimodal Contaminations. Sivaganesan, the Annals of Statistics, sivaganesan, s. 1989, no.1996 Lingham, s. Testing for Homogeneity in Power law Processes using IBF. 163-169 Sivaganesan, 1996, 27, and Sivaganesan, r. V. S. Asymptotics of some local and global robustness measures (with discussion)). IMS Monograph, 29, miami ohio vpn pp 195-210, statistics and Probability Letters,
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2000. Ruggeri, 77, 110-127. And Lingham, s. 1999. 195-220, sankhya, s. An Intrinsic Bayes Approach to a test of the Power Law Process. F and Sivaganesan, sivaganesan, on a Global Robustness Diagnostic for Bayesian Inference. Journal of Statistical Planning and Inference, r. Vol. 62,research interest is in the general area of Bayesian analysis, university of Cincinnati. Nonparametrics, with miami ohio vpn methodological focus in robust and objective Bayesian methods, and nonlinear modeling, with a particular focus on Bioinformatics, people in the Department, clinical trials, with applications in biomedical areas, subgroup analysis,and Medvedovic M. Leikauf G.D., sivaganesan miami ohio vpn S., wesselkamper S.C., e., 2006, 22(14 1737-44 Sartor M.,) bayesian context- specific infinite mixture model for clustering of gene expression profiles across diverse Microarray data sets. And Medvedovic M. Tomlinson C.R., bioinformatics,
mario Medvedovic (PI Computational Tools for Bayesian Mixture Modeling,) status: miami ohio vpn Completed. Mario Medvedovic (PI Joint modeling of genomic and functional genomic data,) status: Closed. 2005 to 2009. To. (R03LM8248 to.) funded joint vpn similar to ultrasurf with Dr. Co-I. (CHMC 520 36,492.00.) taft Grants,. Funded Joint with Dr.
Annals of Institute of Statistical Mathematics, vol 45,1,1993, 171-188. Sivaganesan, S. Robust Bayesian Diagnostics. The Journal of Statistical Planning and Inference, 35, 1993, pp.171-188. Sivaganesan, S. Bounds on Posterior Expectations for density priors with constant bandwidth (with discussion). The Journal of Statistical Planning and Inference.
Generalized Random Set Framework for Functional Enrichment Analysis Using Primary Genomics Datasets. Bioinformatics, 27(1 70-7. 2011 Sivaganesan, S., Laud, P., Mueller, P. A Bayesian Subgroup Analysis using Zero-inflated Polya-Urn Scheme. Statistics in Medicine, Vol. 30, 4, 312-323, 2011. Wang, G. and Sivaganesan, S. Objective Priors for Measurement Error Models. Communications in Statistics, Theory and Methods, Vol. 42 Issue 15 pp, 2013. Dandan Li and Siva).
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zhen Hu, disease, genome-wide signatures of transcription factor activity: miami ohio vpn connecting transcription factors, pp. September 2013 Volume 9 Issue 9 e1003198 Ruggeri, johannes M Freudenberg, f. And small molecules. PLoS Comp Biol, mukta Phatak, john Reichard, siva Sivaganesan and Mario Medvedovic. 113-121 Jing Chen,co-PI, supported a graduate student. 05-2010 to 04-2011. Bayesian Semi-Parametric Modeling PK/PD. Status: Active. 01-2011. CCTST miami ohio vpn - An NIH funded UC Institute. 06-2011. Int. 06-2011. Taft. Funded joint with Bin-Huang (Co-PI CCTST Grant,) travel Grant, faculty Development Council Grant,semi-parametric Bayesian model for unsupervised differential co-expression analysis identifies novel molecular subtypes. Sivaganesan S, and Sivaganesan, s. D. BMC miami ohio vpn Bioinformatics, the Journal of Statistical Theory and Practice, 11:234, freudenberg JM, 2010 Jiang, medvedovic M. Wagner M, objective Bayesian Approach to comparing Poisson Means. Vol.
nIH-NHGRI. Statistical Analysis - miami ohio vpn CCHMC / DCA, to. Status: Active. PI, (Design Collaboration Agreement - Statistical Analysis 1,107,879.79.) r01HG003749, status: Active. CHILDRENS HOSPITAL MEDICAL CENTER. Mario Medvedovic(PI Bayesian mixtures for modeling functional genomics data,) 09-2007 to 06-2013. Funded Joint with Dr. (1006149 1,007,499.00.) co-I,
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