

{"id":424,"date":"2016-01-22T12:14:54","date_gmt":"2016-01-22T11:14:54","guid":{"rendered":"https:\/\/project.inria.fr\/fraclab\/?page_id=424"},"modified":"2016-01-22T12:14:54","modified_gmt":"2016-01-22T11:14:54","slug":"statistics","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/fraclab\/works-using-fraclab\/statistics\/","title":{"rendered":"Statistics"},"content":{"rendered":"<p><strong>Self-Similarity Parameter Estimation for K-Dimensional Processes<\/strong><br \/>\nSergio Bianchi, Anna Maria Palazzo, Alexandre Pantanella, Augusto Pianese<br \/>\n4th IEEE International Conference on Computer Science and Information Technology, Chengdu, China, June 10-12, 2011<br \/>\n<a href=\"http:\/\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=1888208\" target=\"_blank\"><span style=\"text-decoration: underline;\">More &#8230;<\/span><\/a><\/p>\n<p><strong>Multifractal temporally weighted detrended fluctuation analysis and its application in the analysis of scaling behavior in temperature series<\/strong><br \/>\nY. 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