A closer look at the bias–variance trade
✍
Nicolaas (KLAAS) M. Faber
📂
Article
📅
1999
🏛
John Wiley and Sons
🌐
English
⚖ 54 KB
👁 1 views
Principal component regression (PCR) and partial least squares (PLS) avoid the high variance often associated with ordinary least squares (OLS) results by allowing a small bias in the model. This paper presents a closer look at this bias-variance trade-off by discussing three practical aspects: (1)