{"categories":["C Program","C programming language","time series analysis","stochastic process","long-range correlation","fractal"],"version":"1.0","published":"2026-01-17 17:27:21","description":"When you study long-range correlations (scaling) in time series, detrended moving-average analysis (DMA)\u2014which explicitly includes a detrending step\u2014is one of the most widely used methods after DFA. In fact, DMA has several advantages over DFA and can reasonably be viewed as a more capable \u201cnext-ste\u2026","image_url":null,"author_url":"https://blog.hatena.ne.jp/chaos_kiyono/","provider_name":"Hatena Blog","url":"https://chaos-r.hatenadiary.jp/entry/2026/01/17/172721","provider_url":"https://hatena.blog","type":"rich","blog_title":"Ken-Chaos\u2019s Random Notes on R","blog_url":"https://chaos-r.hatenadiary.jp/","title":"Fast DMA in C for Long-Range Correlation Analysis","height":"190","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fchaos-r.hatenadiary.jp%2Fentry%2F2026%2F01%2F17%2F172721\" title=\"Fast DMA in C for Long-Range Correlation Analysis - Ken-Chaos\u2019s Random Notes on R\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","author_name":"chaos_kiyono","width":"100%"}