Sudhir  Raman
Sudhir Raman
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Computational neuroimaging strategies for single patient predictions
KE Stephan, F Schlagenhauf, QJM Huys, S Raman, EA Aponte, ...
Neuroimage 145, 180-199, 2017
The Bayesian group-lasso for analyzing contingency tables
S Raman, TJ Fuchs, PJ Wild, E Dahl, V Roth
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
A hemodynamic model for layered BOLD signals
J Heinzle, PJ Koopmans, HEM den Ouden, S Raman, KE Stephan
Neuroimage 125, 556-570, 2016
mpdcm: A toolbox for massively parallel dynamic causal modeling
EA Aponte, S Raman, B Sengupta, WD Penny, KE Stephan, J Heinzle
Journal of neuroscience methods 257, 7-16, 2016
A hierarchical model for integrating unsupervised generative embedding and empirical Bayes
S Raman, L Deserno, F Schlagenhauf, KE Stephan
Journal of neuroscience methods 269, 6-20, 2016
Automatic model selection in archetype analysis
S Prabhakaran, S Raman, JE Vogt, V Roth
Joint DAGM (German Association for Pattern Recognition) and OAGM Symposium …, 2012
Variational Bayesian inversion for hierarchical unsupervised generative embedding (HUGE)
Y Yao, SS Raman, M Schiek, A Leff, S Frässle, KE Stephan
NeuroImage 179, 604-619, 2018
Infinite mixture-of-experts model for sparse survival regression with application to breast cancer
S Raman, TJ Fuchs, PJ Wild, E Dahl, JM Buhmann, V Roth
BMC bioinformatics 11 (8), S8, 2010
Sparse Bayesian Regression for Grouped Variables in Generalized Linear Models.
S Raman, V Roth
DAGM-Symposium, 242-251, 2009
Probabilistic clustering of time-evolving distance data
JE Vogt, M Kloft, S Stark, SS Raman, S Prabhakaran, V Roth, G Rätsch
Machine learning 100 (2-3), 635-654, 2015
Bayesian Grouped Variable Selection
SS Raman
Ph. D. Thesis, Computer Science Department, University of Basel, Switzerland, 2012
Sparse point estimation for bayesian regression via simulated annealing
S Raman, V Roth
Pattern Recognition, 317-326, 2012
Thermodynamic integration for dynamic causal models
EA Aponte, S Raman, S Fraessle, J Heinzle, WD Penny, KEE Stephan
bioRxiv, 471417, 2018
Bayesian Survival Models for Analyzing Breast Tumors
V Roth, TJ Fuchs, SS Raman, PJ Wild
NIPS Workshop, 2008
Bayesian Inference
SS Raman, TN Unit
Bayesian Model Selection
SS Raman, TN Unit
MAP Estimation via Simulated Annealing for Sparse Bayesian Regression using MCMC sampling
S Raman, V Roth
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