{"url":"https://chaos-r.hatenadiary.jp/entry/2026/01/28/122301","published":"2026-01-28 12:23:01","author_name":"chaos_kiyono","type":"rich","categories":["Fundamentals of Fractal Time Series Analysis","Power law"],"description":"Consider a stochastic process\u2014that is, a time series generated by random fluctuations, such as heart rate variability, brain activity measured by electroencephalography (EEG), postural sway, or financial prices. One way to describe how such a process \u201cremembers\u201d its past is to look at its autocorrel\u2026","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fchaos-r.hatenadiary.jp%2Fentry%2F2026%2F01%2F28%2F122301\" title=\"Long-Memory Processes: When Small Effects Add Up to Infinity - 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>","blog_title":"Ken-Chaos\u2019s Random Notes on R","title":"Long-Memory Processes: When Small Effects Add Up to Infinity","width":"100%","blog_url":"https://chaos-r.hatenadiary.jp/","height":"190","author_url":"https://blog.hatena.ne.jp/chaos_kiyono/","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/chaos_kiyono/20260128/20260128111641.png","provider_name":"Hatena Blog","provider_url":"https://hatena.blog","version":"1.0"}