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Simple and Globally Convergent Methods for Accelerating the Convergence of Any EM Algorithm

Citations

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Cited by:

  1. Allassonnière, Stéphanie & Chevallier, Juliette, 2021. "A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling," Computational Statistics & Data Analysis, Elsevier, vol. 159(C).
  2. Fournel, Jean-François, 2023. "Electric Vehicle Subsidies: Cost-Effectiveness and Emission Reductions," TSE Working Papers 23-1465, Toulouse School of Economics (TSE), revised Jun 2024.
  3. Kristy P. Robledo & Ian C. Marschner, 2021. "A new algorithm for fitting semi-parametric variance regression models," Computational Statistics, Springer, vol. 36(4), pages 2313-2335, December.
  4. Takeshi Fukasawa, 2025. "When do firms sell high durability products? The case of light bulb industry," Papers 2503.23792, arXiv.org, revised May 2025.
  5. Li, Jiang-Cheng & Xu, Ming-Zhe & Han, Xu & Tao, Chen, 2022. "Dynamic risk resonance between crude oil and stock market by econophysics and machine learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
  6. Zhou, Wei & Zhong, Guang-Yan & Li, Jiang-Cheng, 2022. "Stability of financial market driven by information delay and liquidity in delay agent-based model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
  7. McLachlan, Geoff & Lee, Sharon X, 2013. "EMMIXuskew: An R Package for Fitting Mixtures of Multivariate Skew t Distributions via the EM Algorithm," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 55(i12).
  8. Brett Hollenbeck & Kosuke Uetake, 2021. "Taxation and market power in the legal marijuana industry," RAND Journal of Economics, RAND Corporation, vol. 52(3), pages 559-595, September.
  9. Takeshi Fukasawa, 2024. "Computationally Efficient Methods for Solving Discrete-time Dynamic models with Continuous Actions," Papers 2407.04227, arXiv.org, revised Feb 2025.
  10. repec:jss:jstsof:32:i04 is not listed on IDEAS
  11. Julian Hidalgo & Michelle Sovinsky, 2023. "Internet (Power) to the People: How to Bridge the Digital Divide," CRC TR 224 Discussion Paper Series crctr224_2023_461, University of Bonn and University of Mannheim, Germany.
  12. Anirban Mukherjee & Vrinda Kadiyali, 2018. "The Competitive Dynamics of New DVD Releases," Management Science, INFORMS, vol. 64(8), pages 3536-3553, August.
  13. Xifen Huang & Jinfeng Xu & Yunpeng Zhou, 2022. "Profile and Non-Profile MM Modeling of Cluster Failure Time and Analysis of ADNI Data," Mathematics, MDPI, vol. 10(4), pages 1-21, February.
  14. Tian, Guo-Liang & Tang, Man-Lai & Liu, Chunling, 2012. "Accelerating the quadratic lower-bound algorithm via optimizing the shrinkage parameter," Computational Statistics & Data Analysis, Elsevier, vol. 56(2), pages 255-265.
  15. McLain, Alexander C. & Zgodic, Anja & Bondell, Howard, 2025. "Efficient sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 207(C).
  16. Øyvind Thomassen & Howard Smith & Stephan Seiler & Pasquale Schiraldi, 2017. "Multi-category Competition and Market Power: A Model of Supermarket Pricing," American Economic Review, American Economic Association, vol. 107(8), pages 2308-2351, August.
  17. Tom Ahn & Esteban Aucejo & Jonathan James, 2021. "The Importance of Matching Effects for Labor Productivity: Evidence from Teacher-Student Interactions," Working Papers 2106, California Polytechnic State University, Department of Economics.
  18. Dennis Leung & Wenguang Sun, 2022. "ZAP: Z$$ Z $$‐value adaptive procedures for false discovery rate control with side information," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(5), pages 1886-1946, November.
  19. Julian Hidalgo & Michelle Sovinsky, 2025. "Subsidies, Speed and Switching? Impacts of an Internet Subsidy in Colombia," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 66(4), pages 419-438, April.
  20. Asger Hobolth & Qianyun Guo & Astrid Kousholt & Jens Ledet Jensen, 2020. "A Unifying Framework and Comparison of Algorithms for Non‐negative Matrix Factorisation," International Statistical Review, International Statistical Institute, vol. 88(1), pages 29-53, April.
  21. Robin, Stéphane & Scrucca, Luca, 2023. "Mixture-based estimation of entropy," Computational Statistics & Data Analysis, Elsevier, vol. 177(C).
  22. Sy Han Chiou & Gongjun Xu & Jun Yan & Chiung‐Yu Huang, 2018. "Semiparametric estimation of the accelerated mean model with panel count data under informative examination times," Biometrics, The International Biometric Society, vol. 74(3), pages 944-953, September.
  23. Nicholas C. Henderson & Zhongzhe Ouyang, 2025. "Parameter-expanded ECME algorithms for logistic and penalized logistic regression," Computational Statistics, Springer, vol. 40(7), pages 3883-3909, September.
  24. Jurgen A. Doornik, 2018. "Accelerated Estimation of Switching Algorithms: The Cointegrated VAR Model and Other Applications," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 45(2), pages 283-300, June.
  25. Chun Yin Lee & Kin Yau Wong & Kwok Fai Lam & Dipankar Bandyopadhyay, 2023. "A semiparametric joint model for cluster size and subunit‐specific interval‐censored outcomes," Biometrics, The International Biometric Society, vol. 79(3), pages 2010-2022, September.
  26. Takeshi Fukasawa, 2024. "Fast and simple inner-loop algorithms of static / dynamic BLP estimations," Papers 2404.04494, arXiv.org, revised Apr 2025.
  27. Esteban Aucejo & Jonathan James, 2016. "The Path to College Education: Are Verbal Skills More Important than Math Skills?," Working Papers 1602, California Polytechnic State University, Department of Economics.
  28. Yue, Chen & Chen, Shaojie & Sair, Haris I. & Airan, Raag & Caffo, Brian S., 2015. "Estimating a graphical intra-class correlation coefficient (GICC) using multivariate probit-linear mixed models," Computational Statistics & Data Analysis, Elsevier, vol. 89(C), pages 126-133.
  29. Lars Lau Raket & Britta Grimme & Gregor Schöner & Christian Igel & Bo Markussen, 2016. "Separating Timing, Movement Conditions and Individual Differences in the Analysis of Human Movement," PLOS Computational Biology, Public Library of Science, vol. 12(9), pages 1-27, September.
  30. Takeshi FUKASAWA & Hiroshi OHASHI, 2023. "Long-run Effect of a Horizontal Merger and Its Remedial Standards," Discussion papers 23001, Research Institute of Economy, Trade and Industry (RIETI).
  31. Donna Henderson & Gerton Lunter, 2020. "Efficient inference in state-space models through adaptive learning in online Monte Carlo expectation maximization," Computational Statistics, Springer, vol. 35(3), pages 1319-1344, September.
  32. Christopher Conlon & Jeff Gortmaker, 2020. "Best practices for differentiated products demand estimation with PyBLP," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 1108-1161, December.
  33. Victor Aguirregabiria & Mathieu Marcoux, 2021. "Imposing equilibrium restrictions in the estimation of dynamic discrete games," Quantitative Economics, Econometric Society, vol. 12(4), pages 1223-1271, November.
  34. Junyao Ren & Shishun Zhao & Dianliang Deng & Tianshu You & Hui Huang, 2025. "Semiparametric Transformation Models with a Change Point for Interval-Censored Failure Time Data," Mathematics, MDPI, vol. 13(15), pages 1-17, August.
  35. Pál, László & Sándor, Zsolt, 2023. "Comparing procedures for estimating random coefficient logit demand models with a special focus on obtaining global optima," International Journal of Industrial Organization, Elsevier, vol. 88(C).
  36. Xavier d'Haultfoeuille & Isis Durrmeyer & Jean-François Fournel & Alessandro Iaria, 2025. "Price discrimination and online sales in the automobile industry," Working Papers hal-05157451, HAL.
  37. Wang, Zheyu & Sebestyen, Krisztian & Monsell, Sarah E., 2017. "Model-based clustering for assessing the prognostic value of imaging biomarkers and mixed type tests," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 125-135.
  38. Greg Lewis & Bora Ozaltun & Georgios Zervas, 2021. "Maximum Likelihood Estimation of Differentiated Products Demand Systems," Papers 2111.12397, arXiv.org.
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