AN ASSEMBLY AND DECOMPOSITION APPROACH FOR CONSTRUCTING SEPARABLE MINORIZING FUNCTIONS IN A CLASS OF MM ALGORITHMS

DOI10.5705/ss.202016.0488zbMath1433.62284OpenAlexW2776670592MaRDI QIDQ5226617

Xi-Fen Huang, Jinfeng Xu, Guo-Liang Tian

Publication date: 1 August 2019

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/fdffff8c1bf5cdd258f287136e0bbcd8ab0b7529

zbMATH Keywords

truncationtransmission tomographycase II interval censored datacomplemental assemblycompound zero-inflatedminorization-maximization (MM) principle

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Censored data models (62N01) Minimax procedures in statistical decision theory (62C20) Testing in survival analysis and censored data (62N03)

Related Items (4)

Proportional inverse Gaussian distribution: A new tool for analysing continuous proportional data ⋮ Mean regression model for the zero-truncated Poisson distribution and its generalization ⋮ MMAD ⋮ Valid properties of truncated Student-\(t\) regression model with applications in analysis of censored data

This page was built for publication: AN ASSEMBLY AND DECOMPOSITION APPROACH FOR CONSTRUCTING SEPARABLE MINORIZING FUNCTIONS IN A CLASS OF MM ALGORITHMS