Classification of brain activation via spatial Bayesian variable selection in fMRI regression

Stefanie Kalus; Philipp G. Sämann; Ludwig Fahrmeir

doi:10.1007/s11634-013-0142-6

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Classification of brain activation via spatial Bayesian variable selection in fMRI regression

Stefanie Kalus Philipp G. Sämann Ludwig Fahrmeir

Year: 2013 Journal: Advances in Data Analysis and Classification Vol: 8 (1)Pages: 63-83 Publisher: Springer Science+Business Media

DOI: 10.1007/s11634-013-0142-6

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Keywords:

Functional magnetic resonance imaging Latent variable Computer science Artificial intelligence Bayesian probability Bayesian inference Markov chain Monte Carlo Model selection Pattern recognition (psychology) Machine learning Psychology Neuroscience

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Classification of brain activation via spatial Bayesian variable selection in fMRI regression

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