Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM
From MaRDI portal
Publication:6151957
DOI10.1214/23-aos2292arXiv2107.01305MaRDI QIDQ6151957
Tianhao Wang, Sheng Xu, Zhou Fan, Yi Sun, Roy R. Lederman
Publication date: 11 March 2024
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2107.01305
Cites Work
- Unnamed Item
- Unnamed Item
- Generalized Procrustes analysis
- The landscape of empirical risk for nonconvex losses
- Optimal rates of estimation for multi-reference alignment
- The zero set of a real analytic function
- The generalized orthogonal Procrustes problem in the high noise regime
- Bispectrum Inversion With Application to Multireference Alignment
- Multi-Reference Alignment in High Dimensions: Sample Complexity and Phase Transition
- Method of moments for 3D single particleab initiomodeling with non-uniform distribution of viewing angles
- The Sample Complexity of Multireference Alignment
- Dihedral Multi-Reference Alignment
- Super-resolution multi-reference alignment
- Multireference Alignment Is Easier With an Aperiodic Translation Distribution
- Introduction to nonparametric estimation
- Likelihood Maximization and Moment Matching in Low <scp>SNR</scp> Gaussian Mixture Models
- Likelihood landscape and maximum likelihood estimation for the discrete orbit recovery model
- Sparse multi-reference alignment: phase retrieval, uniform uncertainty principles and the beltway problem
- Estimation under group actions: recovering orbits from invariants
This page was built for publication: Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM