Algebraic and Analytic Approaches for Parameter Learning in Mixture Models

McGregor Andrew
McGregor Andrew
Pal Soumyabrata
Pal Soumyabrata

ALT, pp. 468-489, 2020.

Cited by: 2|Views40
EI

Abstract:

We present two different approaches for parameter learning in several mixture models in one dimension. Our first approach uses complex-analytic methods and applies to Gaussian mixtures with shared variance, binomial mixtures with shared success probability, and Poisson mixtures, among others. An example result is that $\exp(O(N^{1/3}))$...More

Code:

Data:

Your rating :
0

 

Tags
Comments