Moment ideals of local Dirac mixtures

In this paper we study ideals arising from moments of local Dirac measures and their mixtures. We provide generators for the case of first order local Diracs and explain how to obtain the moment ideal of the Pareto distribution from them. We then use elimination theory and Prony's method for parameter estimation of finite mixtures and showcase our results with an application in signal processing. We highlight the natural connections to algebraic statistics, combinatorics and applications in analysis throughout the paper.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/22/2023

Moment Varieties for Mixtures of Products

The setting of this article is nonparametric algebraic statistics. We st...
research
06/28/2019

The multidimensional truncated Moment Problem: Shape and Gaussian Mixture Reconstruction from Derivatives of Moments

In this paper we introduce the theory of derivatives of moments and (mom...
research
05/13/2019

Moment Identifiability of Homoscedastic Gaussian Mixtures

We consider the problem of identifying a mixture of Gaussian distributio...
research
06/25/2012

Learning mixtures of spherical Gaussians: moment methods and spectral decompositions

This work provides a computationally efficient and statistically consist...
research
07/19/2018

Optimal estimation of Gaussian mixtures via denoised method of moments

The Method of Moments [Pea94] is one of the most widely used methods in ...
research
06/03/2022

Traffic Count Data Analysis Using Mixtures of Kato–Jones Distributions on the Circle

We discuss the modelling of traffic count data that show the variation o...
research
04/29/2022

Finite sequences representing expected order statistics

Characterizations of finite sequences β_1<⋯<β_n representing expected va...

Please sign up or login with your details

Forgot password? Click here to reset