Estimating location parameters in entangled single-sample distributions

Cited by: 0|Views8

Abstract:

We consider the problem of estimating the common mean of independently sampled data, where samples are drawn in a possibly non-identical manner from symmetric, unimodal distributions with a common mean. This generalizes the setting of Gaussian mixture modeling, since the number of distinct mixture components may diverge with the number ...More

Code:

Data:

Full Text
Bibtex
Your rating :
0

 

Tags
Comments