This week’s discussion paper for the PhD Seminar Series in Statistics is
- Efron, B. (1979). Bootstrap methods: another look at the jackknife. The annals of Statistics, 7(1), 1-26.
The reading guide
In order to have more fun in the reading, we are aiming to complete the two tasks before Sunday, Dec 22 .
- Post at least one question here you found during the reading.
- Give comments to at least one question that other people asked.
Happy reading!
Now I will go back to making ginger bread’s, merry christmas!
Merry Christmas and Happy new year. Let’s see if some of us can come up any though of your concerns.
And I have one more:
If you got to vote, would you prefer the name Bootstrap method or the name Shotgun method? (p.25)
Here’s my first question:
Would you say that there is any contradiction between “We have applied the bootstrap in a nonparametric way…”(p.25) and the discussion about the need to centralize the residuals so that \( \sum_{i=1}^n \epsilon_i=0 \) (p.17-19)?
Notes on using LaTeX
You can use standard LaTeX commands to display mathematical formulas.
If you type
will give you
Given that \( \boldsymbol{Y} = X\beta + \epsilon \) where \(\epsilon \sim N(\mu,\sigma^2)\).
Also if you type
will give you
\[\left( \sum_{k=1}^n a_k b_k \right)^{\!\!2} \leq
\left( \sum_{k=1}^n a_k^2 \right) \left( \sum_{k=1}^n b_k^2 \right)
\].