# Tag Info

1 vote

### A Kinder Egg Problem

I want to give you a simple approach, while Ben's approach is the proper one. I reuse some of Ben's variable names. If i interpret your data correctly, you aggregated data for three time periods with ...

### MLE vs MAP estimation, when to use which?

Theoretically, if you have the information about the prior probability, use MAP; otherwise MLE. However, as the amount of data increases, the leading role of prior assumptions (which used by MAP) on ...

### A Kinder Egg Problem

You could potentially approach this as an inference from an occupancy problem, depending on the sampling method. For simplicity, let's assume that there are $N$ types of toys and your sampling method ...
• 97.2k

### How to construct a confidence interval for the coefficients of a multivariate regression with dependence between dependent variables?

Although your question asks about a model where the error terms are independent, I'm going to generalise to drop this assumption in order to give a slightly broader answer. This will allow me to show ...
• 97.2k
1 vote

### What is an unbiased estimate of population R-square?

We made some progress regarding this. Thus here an updated answer. Assumptions All existing comparisons for this (thus also the results summarized by Jeromy, and all claims I make dependent on all ...
• 1,600

### Using the Median to Estimate a Parameter

(I've deleted my previous answer as it was a bit sloppy.) Because in a comment you've mentioned the desire for other estimators, here is an implementation of a maximum likelihood estimator. Note that ...
• 2,208
Accepted

• 236
1 vote
Accepted

### Sampling distribution of GBM Maximum-Likelihood estimator

It is common knowledge in asymptotic statistics that the asymptotic distribution of MLE in an exponential family is the normal distribution with mean being the MLE, and variance being the inverse ...
• 126