Likelihood Maximization and Moment Matching in Low <scp>SNR</scp> Gaussian Mixture Models

DOI10.1002/cpa.22051arXiv2006.15202OpenAlexW3037106150MaRDI QIDQ6049738

Anya E. Katsevich, Afonso S. Bandeira

Publication date: 11 October 2023

Published in: Communications on Pure and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2006.15202

Mathematics Subject Classification ID

Statistics (62-XX) Systems theory; control (93-XX)

Related Items (2)

Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM ⋮ Rates of estimation for high-dimensional multireference alignment

Cites Work

• Unnamed Item
• Statistical guarantees for the EM algorithm: from population to sample-based analysis
• Hyperbolic polynomials and Vandermonde mappings
• Approximate nonparametric maximum likelihood for mixture models: a convex optimization approach to fitting arbitrary multivariate mixing distributions
• On the nonparametric maximum likelihood estimator for Gaussian location mixture densities with application to Gaussian denoising
• Efficiently learning mixtures of two Gaussians
• Nonparametric Maximum Likelihood Estimation of a Mixing Distribution
• Bispectrum Inversion With Application to Multireference Alignment
• Multi-Target Detection With an Arbitrary Spacing Distribution
• Heterogeneous Multireference Alignment for Images With Application to 2D Classification in Single Particle Reconstruction
• MATHEMATICS FOR CRYO-ELECTRON MICROSCOPY
• Multi-target detection with application to cryo-electron microscopy

This page was built for publication: Likelihood Maximization and Moment Matching in Low <scp>SNR</scp> Gaussian Mixture Models