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All Projects → aviatesk → Intro Statistical Modeling

aviatesk / Intro Statistical Modeling

『データ解析のための統計モデリング入門』の勉強ノート

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『データ解析のための統計モデリング入門』 - aviatesk

久保拓弥『データ解析のための統計モデリング入門: 一般化線形モデル・階層ベイズモデル・MCMC』を勉強したときのノートを, R-markdownを用いて出力したHTLMファイルとしてまとめています.

全てのデータおよびノートに含まれるコードの大部分は, 久保さんのwebページで公開されているものによります.

TOC

Tasks

  • [x] Setups(R, R-markdown, Atom)
  • [x] Chapter 2: 確率分布と統計モデルの最尤推定
  • [x] Chapter 3: 一般化線形モデル(GLM) ― ポアソン回帰 ―
  • [x] Chapter 4: GLMのモデル選択 ― AICとモデルの予測の良さ ―
  • [x] Chapter 5: GLMの尤度比検定と検定の枠組み
  • [x] Chapter 6: GLMの応用範囲を広げる ― ロジスティック回帰など ―
  • [x] Chapter 7: 一般化線形モデル(GLMM) ― 個体差のモデリング ―
  • [ ] Chapter 8: マルコフ連鎖モンテカルロ(MCMC)法とベイズ統計モデル
  • [ ] Chapter 9: GLMのベイズモデル化と事後分布の推定
  • [ ] Chapter 10: 階層ベイズモデル ― GLMMのベイズモデル化 ―
  • [ ] Chapter 11: 空間構造のある階層ベイズモデル

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