The following pages link to The MM alternative to EM (Q906520):
Displaying 31 items.
- Distance majorization and its applications (Q403660) (← links)
- Graphics processing units and high-dimensional optimization (Q906530) (← links)
- Surrogate maximization/minimization algorithms and extensions (Q1009342) (← links)
- Maximum likelihood estimation of triangular and polygonal distributions (Q1659022) (← links)
- Structured variable selection via prior-induced hierarchical penalty functions (Q1659467) (← links)
- Recursive nonlinear-system identification using latent variables (Q1797027) (← links)
- EM vs MM: a case study (Q1927172) (← links)
- Is EM really necessary here? Examples where it seems simpler not to use EM (Q2068900) (← links)
- Quantile regression feature selection and estimation with grouped variables using Huber approximation (Q2080351) (← links)
- High-performance statistical computing in the computing environments of the 2020s (Q2092893) (← links)
- Penalized empirical likelihood for the sparse Cox regression model (Q2317296) (← links)
- MM optimization algorithms (Q2826638) (← links)
- Empirical Likelihood for Censored Linear Regression and Variable Selection (Q2949877) (← links)
- On the Bumpy Road to the Dominant Mode (Q3103143) (← links)
- MM Algorithms for Variance Components Models (Q3391241) (← links)
- (Q4558148) (← links)
- Another Look at Distance-Weighted Discrimination (Q4603806) (← links)
- Inexact Half-Quadratic Optimization for Linear Inverse Problems (Q4689755) (← links)
- A coordinate majorization descent algorithm for ℓ<sub>1</sub>penalized learning (Q5219208) (← links)
- Nested coordinate descent algorithms for empirical likelihood (Q5219446) (← links)
- AN ASSEMBLY AND DECOMPOSITION APPROACH FOR CONSTRUCTING SEPARABLE MINORIZING FUNCTIONS IN A CLASS OF MM ALGORITHMS (Q5226617) (← links)
- Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension (Q5242475) (← links)
- A fast unified algorithm for solving group-lasso penalize learning problems (Q5963816) (← links)
- A Legacy of EM Algorithms (Q6067612) (← links)
- Minorize–maximize algorithm for the generalized odds rate model for clustered current status data (Q6180922) (← links)
- Backfitting algorithms for total-variation and empirical-norm penalized additive modelling with high-dimensional data (Q6541469) (← links)
- Efficient estimation of the additive risks model for interval-censored data (Q6547607) (← links)
- The appeals of quadratic majorization-minimization (Q6568947) (← links)
- Recent developments in expectation-maximization methods for analyzing complex data (Q6607911) (← links)
- Flexible Expectile Regression in Reproducing Kernel Hilbert Spaces (Q6622403) (← links)
- High-dimensional model-assisted inference for treatment effects with multi-valued treatments (Q6664630) (← links)
