Detecting Conjunctions Using Cluster Volumes - Alodat, Moh'd
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In brain mapping literatures, the experiment is repeated on several different subjects or for several different stimuli on the same subject, and the researcher is interested in the common points in the brain where activation occurs in all test statistic images. The conjunction is thus defined as those points in the brain that show activation in all images. We are interested in which parts of the conjunction are noise, and which show true activation in all test statistic images. Our main result is an approximate P-value for this in the case of the conjunction of two Gaussian or chi square test…mehr

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Produktbeschreibung
In brain mapping literatures, the experiment is repeated on several different subjects or for several different stimuli on the same subject, and the researcher is interested in the common points in the brain where activation occurs in all test statistic images. The conjunction is thus defined as those points in the brain that show activation in all images. We are interested in which parts of the conjunction are noise, and which show true activation in all test statistic images. Our main result is an approximate P-value for this in the case of the conjunction of two Gaussian or chi square test statistic images. The results are applied to a functional magnetic resonance experiment in pain perception.
Autorenporträt
Dr. Moh'd Alodat received his Master's degree from Yarmouk University, 1997 and his Ph.D. in statistics from McGill University, 2004. Dr. Alodat's current research interests are focused on Geometry of random fields, level-crossing theory, multivariate skew normal theory and Bayesian statistics. He has published more than 45 articles in statistics