sample statistics (from last time)

参考 概率论与数理统计

prediction vs. inference

modeling: assumptions of randomness

the bias-variance tradeoff

$$model\ risk = observation\ variance + (model\ bias)^2+model\ variance$$ $$\mathbb{E}[(Y-\hat{Y}(x))^2] = \sigma^2+(\mathbb{E}[\hat{Y}(x)]-g(x))^2+Var(\hat{Y}(x))$$

interpreting slopes

• slope == 0? 假设检验证明是否无关

[Extra]review of the Bootstrap

[Extra]derivation of Bias-Variance

decomposition

https://docs.google.com/presentation/d/1gzgxGO_nbCDajYs7qIpjzjQfJqKadliBOat7Es10Ll8/edit#slide=id.g11df3da7bd7_0_467