{"html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fchaos-r.hatenadiary.jp%2Fentry%2F2026%2F01%2F28%2F002121\" title=\"Random Walk Analysis: The Case of White Noise - 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","published":"2026-01-28 00:21:21","author_url":"https://blog.hatena.ne.jp/chaos_kiyono/","provider_name":"Hatena Blog","description":"In this article, we analytically examine random walk analysis using the simplest possible example: white noise. The goal is to explain the idea of random walk analysis involved with DFA and DMA. Figure: Random Walk Analysis Demo of a white-noise time series and its integrated process. Left: Sample t\u2026","categories":["Fundamentals of Fractal Time Series Analysis","time series analysis"],"type":"rich","url":"https://chaos-r.hatenadiary.jp/entry/2026/01/28/002121","height":"190","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/chaos_kiyono/20220629/20220629123640.png","version":"1.0","width":"100%","author_name":"chaos_kiyono","title":"Random Walk Analysis: The Case of White Noise","blog_url":"https://chaos-r.hatenadiary.jp/","provider_url":"https://hatena.blog"}