モデルの比較と選択の基準:AICとBIC

April 20, 2020
統計学 モデル評価 モデル選択

以下の論文の要点のみを整理したものです。短い論文なので直接読んだ方がいいかも知れません。

AIC BIC
Is your analysis exploratory analysis? confirmatory analysis?
Is the analysis open-ended? a few specific models representing a well understood process being compared?
As the dataset gets larger, do you expect your model to grow in complexity? stabilize?
Do you believe you have chosen the correct functional form of the relationship as well as the correct variable? No Yes
Is your goal accurate prediction? finding the correct model?

計量政治学方法論I

July 16, 2020
因果推論 統計学 担当科目

Logistic Regressionによる分類と可視化・評価

April 20, 2020
統計学 R 機械学習

計量政治学方法論I (2019)

April 18, 2020
因果推論 統計学 担当科目
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