Symmetry and Inference
نویسندگان
چکیده
B Programme and Methodology 4 B.1 Aims and Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 B.2 Relevance to MathFIT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 B.3 Methodology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 B.4 Timeliness and Novelty . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 B.5 Programme of Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 B.6 Management . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
منابع مشابه
A symmetry-based method to infer structural brain networks from tractography data
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In this paper, the region in which the structural system is situated is divided into four subregions, namely upper, lower, left and right subregions. The stiffness matrix of the entire system is then formed and using the existing direct symmetry and reverse symmetry, the relationships between the entries of the matrix are established. Examples are included to illustrate the steps of the method.
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Symmetry and separability of spatial-temporal covariances are the main assumptions that are frequently taken for granted in most applications because of the simplicity of constructing covariance structure. However, many studies in environmental sciences show that real data have complex spatial-temporal dependency structures resulting from lack of symmetry or violation of other standard assumpti...
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تاریخ انتشار 2002