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The MM Alternative to EM

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471725250openalex-snapshot
Robust Statistics
inferredcites →https://doi.org/10.1002/9780470316436openalex-snapshot
Linear Statistical Inference and its Applications
inferredcites →https://doi.org/10.1002/9781119013563openalex-snapshot
Statistical Analysis with Missing Data
inferredcites →https://doi.org/10.1007/978-1-4757-2440-0openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1007/978-1-4757-2711-1openalex-snapshot
Modern Multidimensional Scaling
inferredcites →https://doi.org/10.1007/978-1-4757-4182-7openalex-snapshot
Optimization
inferredcites →https://doi.org/10.1007/978-3-540-70981-7_18openalex-snapshot
Nonlinear Support Vector Machines Through Iterative Majorization and I-Splines
inferredcites →https://doi.org/10.1007/978-3-642-46808-7_28openalex-snapshot
Block-relaxation Algorithms in Statistics
inferredcites →https://doi.org/10.1007/bf00049423openalex-snapshot
Monotonicity of quadratic-approximation algorithms
inferredcites →https://doi.org/10.1007/bf02293745openalex-snapshot
Nonmetric Individual Differences Multidimensional Scaling: An Alternating Least Squares Method with Optimal Scaling Features
inferredcites →https://doi.org/10.1007/bf02294484openalex-snapshot
Fitting Longitudinal Reduced-Rank Regression Models by Alternating Least Squares
inferredcites →https://doi.org/10.1007/bf02295425openalex-snapshot
Minimization of a Class of Matrix Trace Functions by means of Refined Majorization
inferredcites →https://doi.org/10.1007/s00199-004-0514-4openalex-snapshot
Log-concave probability and its applications
inferredcites →https://doi.org/10.1016/0167-9473(87)90057-0openalex-snapshot
Correspondence analysis with least absolute residuals
inferredcites →https://doi.org/10.1016/b978-012636651-8/50018-0openalex-snapshot
Use of MM Algorithm for Regularization of Parametric Images in Dynamic PET
inferredcites →https://doi.org/10.1016/j.csda.2009.01.002openalex-snapshot
Sharp quadratic majorization in one dimension
inferredcites →https://doi.org/10.1016/j.jmaa.2007.02.016openalex-snapshot
Generalized convexity and inequalities
inferredcites →https://doi.org/10.1016/j.laa.2005.06.025openalex-snapshot
Nonnegative matrix factorization for spectral data analysis
inferredcites →https://doi.org/10.1016/s0167-9473(02)00142-1openalex-snapshot
Setting up alternating least squares and iterative majorization algorithms for solving various matrix optimization problems
inferredcites →https://doi.org/10.1017/cbo9780511804441openalex-snapshot
Convex Optimization
inferredcites →https://doi.org/10.1023/a:1016126007531openalex-snapshot
Computing Estimates in the Proportional Odds Model
inferredcites →https://doi.org/10.1038/44565openalex-snapshot
Learning the parts of objects by non-negative matrix factorization
inferredcites →https://doi.org/10.1080/01621459.1991.10475130openalex-snapshot
Using EM to Obtain Asymptotic Variance-Covariance Matrices: The SEM Algorithm
inferredcites →https://doi.org/10.1080/03610919408813180openalex-snapshot
A curious likelihood identity for the multivariate t-distribution
inferredcites →https://doi.org/10.1080/10618600.2000.10474858openalex-snapshot
Optimization Transfer Using Surrogate Objective Functions
inferredcites →https://doi.org/10.1080/10618600.2000.10474866openalex-snapshot
Quantile Regression via an MM Algorithm
inferredcites →https://doi.org/10.1093/oso/9780198522850.003.0008openalex-snapshot
Convergent Computation by Iterative Majorization: Theory and Applications in Multidimensional Data Analysis
inferredcites →https://doi.org/10.1109/42.370409openalex-snapshot
A modified expectation maximization algorithm for penalized likelihood estimation in emission tomography
inferredcites →https://doi.org/10.1109/83.465107openalex-snapshot
Globally convergent algorithms for maximum a posteriori transmission tomography
inferredcites →https://doi.org/10.1109/icassp.2006.1660479openalex-snapshot
Total Variation-Based Image Deconvolution: a Majorization-Minimization Approach
inferredcites →https://doi.org/10.1109/jproc.2002.804689openalex-snapshot
Genomewide motif identification using a dictionary model
inferredcites →https://doi.org/10.1111/1467-9868.00082openalex-snapshot
The EM Algorithm—an Old Folk-song Sung to a Fast New Tune
inferredcites →https://doi.org/10.1111/1467-9868.00083openalex-snapshot
Acceleration of the EM Algorithm by using Quasi-Newton Methods
inferredcites →https://doi.org/10.1111/j.1467-9469.2007.00585.xopenalex-snapshot
Simple and Globally Convergent Methods for Accelerating the Convergence of Any EM Algorithm
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1111/j.2517-6161.1983.tb01229.xopenalex-snapshot
On the Convergence of the EM Algorithm
inferredcites →https://doi.org/10.1111/j.2517-6161.1989.tb01754.xopenalex-snapshot
A Fast Improvement to the Em Algorithm on its Own Terms
inferredcites →https://doi.org/10.1111/j.2517-6161.1995.tb02037.xopenalex-snapshot
A Gradient Algorithm Locally Equivalent to the Em Algorithm
inferredcites →https://doi.org/10.1137/1.9780898718867openalex-snapshot
Matrix Methods in Data Mining and Pattern Recognition
inferredcites →https://doi.org/10.1137/1.9781611971323openalex-snapshot
Numerical Analysis
inferredcites →https://doi.org/10.1177/096228029700600104openalex-snapshot
EM algorithms without missing data
inferredcites →https://doi.org/10.1198/0003130042836openalex-snapshot
A Tutorial on MM Algorithms
inferredcites →https://doi.org/10.1198/106186008x340940openalex-snapshot
An MM Algorithm for Multicategory Vertex Discriminant Analysis
inferredcites →https://doi.org/10.1214/009053605000000200openalex-snapshot
Variable selection using MM algorithms
inferredcites →https://doi.org/10.1214/07-aoas131openalex-snapshot
Pathwise coordinate optimization
inferredcites →https://doi.org/10.1214/aos/1079120141openalex-snapshot
MM algorithms for generalized Bradley-Terry models
inferredcites →https://doi.org/10.1214/aos/1176346060openalex-snapshot
On the Convergence Properties of the EM Algorithm
inferredcites →https://doi.org/10.2307/2290063openalex-snapshot
Robust Statistical Modeling Using the t Distribution
inferredcites →https://doi.org/10.4310/maa.1994.v1.n4.a1openalex-snapshot
An adaptive barrier method for convex programming

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cjs.11733openalex-snapshot
Minorize–maximize algorithm for the generalized odds rate model for clustered current status data
inferred← citeshttps://doi.org/10.1002/sta4.198openalex-snapshot
Backfitting algorithms for total‐variation and empirical‐norm penalized additive modelling with high‐dimensional data
inferred← citeshttps://doi.org/10.1002/sta4.70055openalex-snapshot
Communication‐Efficient Feature Screening for Ultrahigh‐Dimensional Data Under Quantile Regression
inferred← citeshttps://doi.org/10.1002/wics.1277openalex-snapshot
Recent developments in expectation‐maximization methods for analyzing complex data
inferred← citeshttps://doi.org/10.1002/widm.1198openalex-snapshot
An introduction to Majorization‐Minimization algorithms for machine learning and statistical estimation
inferred← citeshttps://doi.org/10.1007/978-1-4419-5945-4_12openalex-snapshot
The MM Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-031-12366-5_9openalex-snapshot
Efficient Estimation of the Additive Risks Model for Interval-Censored Data
inferred← citeshttps://doi.org/10.1007/978-3-031-52116-4_10openalex-snapshot
Learning Graphs from Heavy-Tailed Data
inferred← citeshttps://doi.org/10.1007/978-3-319-97142-1_3openalex-snapshot
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization
inferred← citeshttps://doi.org/10.1007/978-981-15-2770-8_6openalex-snapshot
Machine Learning
inferred← citeshttps://doi.org/10.1007/978-981-96-6688-1_28openalex-snapshot
A Simultaneous Hierarchical Count Data Clustering and Feature Selection Based on Multinomial Nested Dirichlet Mixture Using the Minorization-Maximization Framework
inferred← citeshttps://doi.org/10.1007/s00180-024-01483-4openalex-snapshot
A smoothed semiparametric likelihood for estimation of nonparametric finite mixture models with a copula-based dependence structure
inferred← citeshttps://doi.org/10.1007/s10044-022-01094-zopenalex-snapshot
A novel minorization–maximization framework for simultaneous feature selection and clustering of high-dimensional count data
inferred← citeshttps://doi.org/10.1007/s10107-013-0697-1openalex-snapshot
Distance majorization and its applications
inferred← citeshttps://doi.org/10.1007/s10651-025-00664-8openalex-snapshot
Exploring nitrogen dioxide spatial concentration via physics-informed multiple quantile regression
inferred← citeshttps://doi.org/10.1007/s11222-009-9166-3openalex-snapshot
A quasi-Newton acceleration for high-dimensional optimization algorithms
inferred← citeshttps://doi.org/10.1007/s11222-014-9498-5openalex-snapshot
A fast unified algorithm for solving group-lasso penalize learning problems
inferred← citeshttps://doi.org/10.1007/s11222-022-10135-wopenalex-snapshot
Quantile regression feature selection and estimation with grouped variables using Huber approximation
inferred← citeshttps://doi.org/10.1016/b978-0-32-391772-8.00022-3openalex-snapshot
Nonconvex graph learning: sparsity, heavy tails, and clustering
inferred← citeshttps://doi.org/10.1016/j.automatica.2018.03.007openalex-snapshot
Recursive nonlinear-system identification using latent variables
inferred← citeshttps://doi.org/10.1016/j.csda.2012.05.018openalex-snapshot
EM vs MM: A case study
inferred← citeshttps://doi.org/10.1016/j.csda.2015.10.011openalex-snapshot
Structured variable selection via prior-induced hierarchical penalty functions
inferred← citeshttps://doi.org/10.1016/j.csda.2016.04.003openalex-snapshot
Maximum likelihood estimation of triangular and polygonal distributions
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A total variation recursive space-variant filter for image denoising
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A super resolution target separation and reconstruction approach for single channel sar against deceptive jamming
inferred← citeshttps://doi.org/10.1016/j.jeconom.2024.105852openalex-snapshot
High-dimensional model-assisted inference for treatment effects with multi-valued treatments
inferred← citeshttps://doi.org/10.1016/j.jjimei.2024.100283openalex-snapshot
Enhancing gender equity in resume job matching via debiasing-assisted deep generative model and gender-weighted sampling
inferred← citeshttps://doi.org/10.1016/j.jspi.2018.12.001openalex-snapshot
Penalized empirical likelihood for the sparse Cox regression model
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107051openalex-snapshot
Online mixture-based clustering for high dimensional count data using Neerchal–Morel distribution
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2021.118309openalex-snapshot
Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework
inferred← citeshttps://doi.org/10.1016/j.ymssp.2017.12.027openalex-snapshot
Identification of cascade water tanks using a PWARX model
inferred← citeshttps://doi.org/10.1017/psrm.2024.23openalex-snapshot
How should we estimate inverse probability weights with possibly misspecified propensity score models?
inferred← citeshttps://doi.org/10.1073/pnas.2525320123openalex-snapshot
Generalizations of the quadratic bound optimization principle
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Flexible Expectile Regression in Reproducing Kernel Hilbert Spaces
inferred← citeshttps://doi.org/10.1080/00949655.2012.695374openalex-snapshot
A coordinate majorization descent algorithm for ℓ1penalized learning
inferred← citeshttps://doi.org/10.1080/00949655.2013.770514openalex-snapshot
Nested coordinate descent algorithms for empirical likelihood
inferred← citeshttps://doi.org/10.1080/01621459.2018.1497498openalex-snapshot
Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension
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An Efficient Algorithm for Computing the HHSVM and Its Generalizations
inferred← citeshttps://doi.org/10.1080/10618600.2015.1005213openalex-snapshot
Tweedie’s Compound Poisson Model With Grouped Elastic Net
inferred← citeshttps://doi.org/10.1080/10618600.2018.1529601openalex-snapshot
MM Algorithms for Variance Components Models
inferred← citeshttps://doi.org/10.1080/10618600.2022.2130926openalex-snapshot
Locally Sparse Function-on-Function Regression
inferred← citeshttps://doi.org/10.1080/10618600.2023.2301072openalex-snapshot
Accelerated Structured Matrix Factorization
inferred← citeshttps://doi.org/10.1093/bioinformatics/btz370openalex-snapshot
Learning a mixture of microbial networks using minorization–maximization
inferred← citeshttps://doi.org/10.1093/biomet/asw036openalex-snapshot
Sparse envelope model: efficient estimation and response variable selection in multivariate linear regression
inferred← citeshttps://doi.org/10.1093/biomet/asz059openalex-snapshot
Regularized calibrated estimation of propensity scores with model misspecification and high-dimensional data
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Sparse coding with a global connectivity constraint
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Inexact half-quadratic optimization for image reconstruction
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Flexible Models for Smart Maintenance
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Unsupervised Learning of Dirichlet Compound Negative Multinomial Mixture Model using Minorization-Maximization Approach
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Sparse component selection with application to MEG source localization
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On the Convergence of Block Majorization-Minimization Algorithms on the Grassmann Manifold
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A Linear Surrogate-Based Algorithm for Fitting Gaussian Mixture Functions
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Simultaneous Radar Detection and DOA Estimation in the Presence of Unknown Mutual Coupling
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Weighted Phase Retrieval of Fourier Measurement With Outliers: Measurement Structure and Reconstruction Algorithm
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Advanced Methods for MLE of Toeplitz Structured Covariance Matrices With Applications to Radar Problems
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A Unified Framework for Epidemic Prediction based on Poisson Regression
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Joint Learning of Full-Structure Noise in Hierarchical Bayesian Regression Models
inferred← citeshttps://doi.org/10.1109/tnet.2019.2943561openalex-snapshot
Optimization of MIMO Device-to-Device Networks via Matrix Fractional Programming: A Minorization–Maximization Approach
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Learning Feature-Sparse Principal Subspace
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Adaptive Target Detection and DOA Estimation With Uniform Rectangular Arrays in the Presence of Unknown Mutual Coupling
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Exploiting Cognition in ISAR Processing for Spectral Compatibility Applications
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Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning
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Adaptive Radar Detection and Bearing Estimation in the Presence of Unknown Mutual Coupling
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Mixture‐based clustering for count data using approximated Fisher Scoring and Minorization–Maximization approaches
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A Brief Survey of Modern Optimization for Statisticians
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Numerical Maximisation of Likelihood: A Neglected Alternative to EM?
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A Legacy of EM Algorithms
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Another Look at Distance-Weighted Discrimination
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Empirical Likelihood for Censored Linear Regression and Variable Selection
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Inexact Half-Quadratic Optimization for Linear Inverse Problems
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Next-Generation Statistical Genetics: Modeling, Penalization, and Optimization in High-Dimensional Data
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Cluster and propensity based approximation of a network
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Graphics Processing Units and High-Dimensional Optimization
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High-Performance Statistical Computing in the Computing Environments of the 2020s
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Convex Clustering: An Attractive Alternative to Hierarchical Clustering
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An SQP Algorithm for Structural Topology Optimization Based on Majorization–Minimization Method
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