{"id":1142,"date":"2022-02-15T14:46:53","date_gmt":"2022-02-15T19:46:53","guid":{"rendered":"https:\/\/www.ramapo.edu\/dmc\/?p=1142"},"modified":"2022-10-13T22:59:20","modified_gmt":"2022-10-14T02:59:20","slug":"multifractal-analysis-of-daily-us-covid-19-cases","status":"publish","type":"post","link":"https:\/\/www.ramapo.edu\/dmc\/2022\/02\/15\/multifractal-analysis-of-daily-us-covid-19-cases\/","title":{"rendered":"Multifractal Analysis of Daily US COVID-19 Cases"},"content":{"rendered":"

Wednesday, March 23rd at 6-7pm in ASB 323<\/strong> <\/p>\n

In this talk we discuss how the multifractal detrended fluctuation analysis (MFDFA) technique can be used to explore the highly irregular behavior or volatility clustering of daily COVID-19 cases in the United States. By using the multifractal spectrum of the MFDFA we will characterize the path and predict the short or long memory behavior of the US COVID-19 Cases on different time scales.<\/p>\n

Register Now<\/a><\/p>\n

Biography<\/b>: Osei Tweneboah is Assistant Professor of Data Science at Ramapo College of New Jersey. His main research is Stochastic Analysis, Machine Learning and Scientific Computing with applications to Big Data and Complex Data sets arising in Finance, Public Health, Geophysics, and others. Dr. Tweneboah is co-author of the textbook Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets recently published by Wiley.<\/p>\n","protected":false},"excerpt":{"rendered":"

Wednesday, March 23rd at 6-7pm in ASB 323 In this talk we discuss how the multifractal detrended fluctuation analysis (MFDFA) technique can be used to explore the highly irregular behavior or volatility clustering of daily COVID-19 cases in the United States. By using the multifractal spectrum of the MFDFA we will characterize the path and […]<\/p>\n","protected":false},"author":214,"featured_media":1143,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,7,4],"tags":[],"class_list":["post-1142","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-science","category-lecture","category-msds"],"yoast_head":"\nMultifractal Analysis of Daily US COVID-19 Cases - Center for Data, Mathematical and Computational Sciences<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ramapo.edu\/dmc\/2022\/02\/15\/multifractal-analysis-of-daily-us-covid-19-cases\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Multifractal Analysis of Daily US COVID-19 Cases\" \/>\n<meta property=\"og:description\" content=\"Wednesday, March 23rd at 6-7pm in ASB 323 In this talk we discuss how the multifractal detrended fluctuation analysis (MFDFA) technique can be used to explore the highly irregular behavior or volatility clustering of daily COVID-19 cases in the United States. 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