Is EM really necessary here? Examples where it seems simpler not to use EM
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Publication:2068900
DOI10.1007/s10182-021-00392-xzbMath1478.62061OpenAlexW3137927944MaRDI QIDQ2068900
Publication date: 20 January 2022
Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10182-021-00392-x
Computational methods for problems pertaining to statistics (62-08) Estimation in multivariate analysis (62H12) Point estimation (62F10)
Uses Software
Cites Work
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- Some things we've learned (about Markov chain Monte Carlo)
- Comparison of the EM algorithm and alternatives
- The MM alternative to EM
- Parameter expansion and efficient inference
- Estimating the parameters of the Marshall-Olkin bivariate Weibull distribution by EM algorithm
- Mathematical and statistical methods for genetic analysis.
- Archimedean-based Marshall-Olkin distributions and related dependence structures
- Proximal algorithms in statistics and machine learning
- The restricted EM algorithm under inequality restrictions on the parameters
- MM Optimization Algorithms
- A Look at Some Data on the Old Faithful Geyser
- Numerical Analysis for Statisticians
- Two Generalizations of the Binomial Distribution
- Parameter expansion to accelerate EM: the PX-EM algorithm
- The ECME algorithm: A simple extension of EM and ECM with faster monotone convergence
- Statistical Models
- The Restricted EM Algorithm for Maximum Likelihood Estimation Under Linear Restrictions on the Parameters
- Numerical Maximisation of Likelihood: A Neglected Alternative to EM?
- The Altham–Poisson distribution
- Some applications of nonlinear and non-Gaussian state–space modelling by means of hidden Markov models
- Linear Statistical Inference and its Applications
- The Dynamic ‘Expectation–Conditional Maximization Either’ Algorithm
- THE ESTIMATION FROM INDIVIDUAL RECORDS OF THE RELATIONSHIP BETWEEN DOSE AND QUANTAL RESPONSE
- Direct Calculation of the Variance of Maximum Penalized Likelihood Estimates via EM Algorithm
- Even More Direct Calculation of the Variance of a Maximum Penalized-Likelihood Estimator
- Understanding and Addressing the Unbounded “Likelihood” Problem
- Hidden Markov Models for Time Series
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