Asymptotic properties of a stochastic EM algorithm for mixtures with censored data
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Publication:1036711
DOI10.1016/j.jspi.2009.06.014zbMath1178.62020OpenAlexW2078082908MaRDI QIDQ1036711
Ingrid Svensson, Sara de Luna Sjöstedt
Publication date: 13 November 2009
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2009.06.014
Asymptotic properties of parametric estimators (62F12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Censored data models (62N01)
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Cites Work
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- Estimation of Wood Fibre Length Distributions from Censored Data through an EM Algorithm
- On the convergence properties of the EM algorithm
- Identifiability of finite mixtures using a new transform
- Almost sure convergence of a class of stochastic algorithms
- The stochastic EM algorithm: Estimation and asymptotic results
- Laslett's line segment problem
- A stochastic EM algorithm for mixtures with censored data
- A new condition for identifiability of finite mixture distributions
- Mixture Densities, Maximum Likelihood and the EM Algorithm
- The Two‐interval Line‐segment Problem
- Conditions for convergence of Monte Carlo EM sequences with an application to product diffusion modeling
- Monte Carlo EM Estimation for Time Series Models Involving Counts
- Ascent-Based Monte Carlo Expectation– Maximization
- Identifiability of Finite Mixtures
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