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A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling

  • Published:2021-07 Issue: Volume:159 Page:107159
  • ISSN:0167-9473
  • Container-title:Computational Statistics & Data Analysis
  • language:en
  • Short-container-title:Computational Statistics & Data Analysis

Author:

Allassonnière Stéphanie,Chevallier Juliette

Funder

Agence Nationale de la Recherche

Fondation Mathématique Jacques Hadamard

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Iterative minimization algorithm on a mixture family;Information Geometry;2024-08-13

2. Pandemic Intensity Estimation from Stochastic Approximation-Based Algorithms;2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP);2023-12-10

3. A Multidimensional Partially Compensatory Response Time Model on Basis of the Log-Normal Distribution;Journal of Educational and Behavioral Statistics;2023-07-11

4. Randomized extrapolation for accelerating EM-type fixed-point algorithms;Journal of Multivariate Analysis;2023-07

5. Bregman Divergence Based Em Algorithm and its Application to Classical and Quantum Rate Distortion Theory;IEEE Transactions on Information Theory;2023-06
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