# Tag Info

### What is meant by practical significance and statistical significance? How do we distinguish these concepts?

The difference is magnitude of evidence vs magnitude of effect A simple way to understand this is to remember that "statistical significance" refers to the magnitude of evidence (typically ...

### What is meant by practical significance and statistical significance? How do we distinguish these concepts?

Explanation The term "practical significance" is often an attempt to subdue the often erroneous usage of "significance" in statistics, which is supposed to be shorthand for "...

### What is meant by practical significance and statistical significance? How do we distinguish these concepts?

The term "practical significance" is used by some researchers to denote that the estimated effect is of a meaningful size in that particular application context. There is no clash with the ...
Accepted

### Generating a random number with CDF $P(X \leq c) = 1-1/c$ in the interval $(1, + \infty)$. using uniform distribution

This is mostly addressed in the comments, but I'm going to write a more formal answer. The whole point of the probability integral transform (a more formal way of saying "inverse of my function ...
Accepted

### How to sample efficiently from an inverse Wishart distribution?

There's not a huge difference in computational complexity. Your approach has five $\Omega(n^3)$ operations (three multiplications and two inverses) and the code has four (computing ...
1 vote

### How to diagnose HMC results like r-hat for a Mixture Model?

This is only a partial answer, but in general you can go a long way by adding an order constraint to your model: enforcing $\theta_1 \lt \theta_2 \lt\dots\lt \theta_k$. This is trickier to do if \$\...
1 vote

### Cluster Sampling problem

If you just want to check the answers, here's how to do it in R: ...

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