- Univariate Statistics
- Bivariate Statistics
- correlation, covariance
- shrinkage
- spearman correlation
- chi-square statistics
- limits of correlation/covariance
- measures linear relationship
- dependent variables not correlated
- regression methods
- correlation, covariance
- multivariate
- Independence and Correlation
- dependent but zero correlation
- X, X^2 (normal, Chi-square)
- dependent but zero correlation
- Law of Large Number
- Central Limit Theorem
- i.i.d. assumption
- regularization condition
- convergence rate
- Estimation
- Method of Moments
- MLE
- calculation:
- exponential dist MLE
- binomial MLE (variance, used in Monte Carlo)
- What is Fisher Information
- cutting variance to half, double the sample size
- calculation:
- Consistency
- Confidence Interval
- the interval is random, the parameter is fixed
- Hypothesis Test
- Type I error, significance (precision)
- Type II error, power (recall)
- how to test multiple hypothesis(FWER vs FDR)
- Statistical Testing
- 1 Group
- binary test, t-test
- 2 Groups
- t-test
- dep-groups t-test
- ANOVA
- what if p=thredhold(0.05)
- it's up to you
- 1 Group
- Bias-Variance Decomposition
- Computational Approach
- Permutation Test
- BootStrapping
- what is the percentage left out of sample? (N -> inf for sampling times and sample size)
- Use Random(5) to generate Random(25) / Random(21) (use 5 * random(5) + random(5))
- two-dimensional matrix + sample with replacement
Steps
- Plot the time series
- Transform to stationary pcoress
- Box-Cox (log) transformation
- trend, seasonality, sharp changes, outliers
- Fit the model
- Diagnostic checks
- Generate forcasts
- Invert transformation to transform forecast back to original series
Derive
-
mean, autocovariance of
-
AR(1)
-
MA(1)