A Tutorial on MM Algorithms
Top Cited Papers
- 1 February 2004
- journal article
- research article
- Published by Taylor & Francis in The American Statistician
- Vol. 58 (1) , 30-37
- https://doi.org/10.1198/0003130042836
Abstract
Most problems in frequentist statistics involve optimization of a function such as a likelihood or a sum of squares. EM algorithms are among the most effective algorithms for maximum likelihood est...Keywords
This publication has 27 references indexed in Scilit:
- MM algorithms for generalized Bradley-Terry modelsThe Annals of Statistics, 2004
- Genomewide motif identification using a dictionary modelProceedings of the IEEE, 2002
- Quantile Regression via an MM AlgorithmJournal of Computational and Graphical Statistics, 2000
- [Optimization Transfer Using Surrogate Objective Functions]: RejoinderJournal of Computational and Graphical Statistics, 2000
- Direct Calculation of the Information Matrix via the EM AlgorithmJournal of the Royal Statistical Society Series B: Statistical Methodology, 1999
- Globally convergent algorithms for maximum a posteriori transmission tomographyIEEE Transactions on Image Processing, 1995
- Using EM to Obtain Asymptotic Variance-Covariance Matrices: The SEM AlgorithmJournal of the American Statistical Association, 1991
- On the Convergence Properties of the EM AlgorithmThe Annals of Statistics, 1983
- Modelling association football scoresStatistica Neerlandica, 1982
- An Iterative Technique for Absolute Deviations Curve FittingJournal of the American Statistical Association, 1973