Sudhir Raman

University of Zurich — Switzerland

Computer Science · Physical Sciences

10h-index570citations18works0.02yr avg
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Research Topics

Bayesian Methods and Mixture Models(10), Functional Brain Connectivity Studies(9), Statistical Methods and Inference(5), Statistical Methods and Bayesian Inference(5), Advanced Neuroimaging Techniques and Applications(5)

Publications18 total

Serotonin Reduces Belief Stickiness
2023· 1 citedOpen Access
An introduction to thermodynamic integration and application to dynamic causal models
Cognitive Neurodynamics·2021· 13 citedOpen Access
TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry
Frontiers in Psychiatry·2021· 160 citedOpen Access
TAPAS: an open-source software package for Translational Neuromodeling and Computational Psychiatry
2021· 32 citedOpen Access
An introduction to thermodynamic integration and application to dynamic causal models
2020· 2 citedOpen Access
Thermodynamic integration for dynamic causal models
2018
Variational Bayesian inversion for hierarchical unsupervised generative embedding (HUGE)
NeuroImage·2018· 11 citedOpen Access
A hierarchical model for integrating unsupervised generative embedding and empirical Bayes
Journal of Neuroscience Methods·2016· 26 cited
A hemodynamic model for layered BOLD signals
NeuroImage·2015· 163 cited
mpdcm: A toolbox for massively parallel dynamic causal modeling
Journal of Neuroscience Methods·2015· 37 cited
Probabilistic clustering of time-evolving distance data
Machine Learning·2015· 2 citedOpen Access
Probabilistic Clustering of Time-Evolving Distance Data
arXiv (Cornell University)·2015· 1 citedOpen Access
Automatic Model Selection in Archetype Analysis
Lecture notes in computer science·2012· 13 cited
Bayesian grouped variable selection
edoc (University of Basel)·2012· 1 citedOpen Access
Sparse Point Estimation for Bayesian Regression via Simulated Annealing
Lecture notes in computer science·2012· 1 cited
Infinite mixture-of-experts model for sparse survival regression with application to breast cancer
BMC Bioinformatics·2010· 14 citedOpen Access
The Bayesian group-Lasso for analyzing contingency tables
2009· 87 cited
Sparse Bayesian Regression for Grouped Variables in Generalized Linear Models
Lecture notes in computer science·2009· 6 cited

Frequent Co-authors

Klaas Ε. Stephan(9), Jakob Heinzle(7), Volker Röth(7), Stefan Frässle(6), Eduardo A. Aponte(6), Yu Yao(5), W.D. Penny(4), Frederike H. Petzschner(3), Sandhya Prabhakaran(3), Julia E. Vogt(3), Saskia Bollmann(2), Kay H. Brodersen(2), Ting Cao(2), Olivia K. Harrison(2), Samuel J. Harrison(2), Sandra Iglesias(2), Lars Kasper(2), Ekaterina I. Lomakina(2), Christoph Mathys(2), Matthias Müller-Schrader(2)