Ben Chuanlong Du's Blog

It is never too late to learn.

Scaling Law for LLM

Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

Beyond neural scaling laws – Paper Explained

Scaling Laws refer to the observed trend of some machine learning architectures (notably transformers) to scale their performance on predictable power law when given more …

Time Series Analysis

Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

In statistics, a unit root test tests whether a time series variable is non-stationary using an autoregressive model. A well-known test that is valid in large samples is the augmented Dickey …

Experiment Design

Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

  1. Complete Randomized Design (CRD)

  2. Randomized Complete Block Design (CBD)

    • same RNE as CRD
  3. Latin Square Design (LSD)
    • same RNE as CRD
  4. Balanced Incomplete Block Design

    • all treatments cannot fit in any …

Model Fitting in ANOVA Analysis

Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

Contrast

  1. Usually it does not matter what contrast(s) you use for factors in linear model problems[^20], so you can choose appropriate contrast(s) so that your problem is most …

AR1X Process

Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

  1. talk about the ar1x process, and your simulation, GLM might not be as good as OLS for estimating parameters, but be careful about inference, why? you use do inference based on …