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The EM algorithm for graphical association models with missing data

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Cited by:

  1. Fazia Abdat & Sylvie Leclercq & Xavier Cuny & Claire Tissot, 2014. "Extracting recurrent scenarios from narrative texts using a Bayesian network: Application to serious occupational accidents with movement disturbance," Post-Print hal-01578382, HAL.
  2. Astrid Kemperman & Pauline van den Berg & Minou Weijs-Perrée & Kevin Uijtdewillegen, 2019. "Loneliness of Older Adults: Social Network and the Living Environment," IJERPH, MDPI, vol. 16(3), pages 1-16, January.
  3. Garvey, Myles D. & Carnovale, Steven & Yeniyurt, Sengun, 2015. "An analytical framework for supply network risk propagation: A Bayesian network approach," European Journal of Operational Research, Elsevier, vol. 243(2), pages 618-627.
  4. Rui Han & Shiqi Yang, 2023. "A Study on Industrial Heritage Renewal Strategy Based on Hybrid Bayesian Network," Sustainability, MDPI, vol. 15(13), pages 1-32, July.
  5. Arentze, Theo & Timmermans, Harry, 2009. "Regimes in social-cultural events-driven activity sequences: Modelling approach and empirical application," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 311-322, May.
  6. Chen, Yen-Liang & Hu, Hui-Ling, 2006. "An overlapping cluster algorithm to provide non-exhaustive clustering," European Journal of Operational Research, Elsevier, vol. 173(3), pages 762-780, September.
  7. Olafsson, Sigurdur & Li, Xiaonan & Wu, Shuning, 2008. "Operations research and data mining," European Journal of Operational Research, Elsevier, vol. 187(3), pages 1429-1448, June.
  8. Langseth, Helge & Portinale, Luigi, 2007. "Bayesian networks in reliability," Reliability Engineering and System Safety, Elsevier, vol. 92(1), pages 92-108.
  9. Croft, J. & Smith, J. Q., 2003. "Discrete mixtures in Bayesian networks with hidden variables: a latent time budget example," Computational Statistics & Data Analysis, Elsevier, vol. 41(3-4), pages 539-547, January.
  10. Ropero, R.F. & Aguilera, P.A. & Rumí, R., 2015. "Analysis of the socioecological structure and dynamics of the territory using a hybrid Bayesian network classifier," Ecological Modelling, Elsevier, vol. 311(C), pages 73-87.
  11. Yingying Xing & Shengdi Chen & Shengxue Zhu & Jian Lu, 2020. "Analysis Factors That Influence Escalator-Related Injuries in Metro Stations Based on Bayesian Networks: A Case Study in China," IJERPH, MDPI, vol. 17(2), pages 1-21, January.
  12. Yawen Sun & Shaohua Tan & Qixiao He & Jize Shen, 2022. "Influence Mechanisms of Community Sports Parks to Enhance Social Interaction: A Bayesian Belief Network Analysis," IJERPH, MDPI, vol. 19(3), pages 1-22, January.
  13. Sheehan, Barry & Murphy, Finbarr & Mullins, Martin & Ryan, Cian, 2019. "Connected and autonomous vehicles: A cyber-risk classification framework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 523-536.
  14. Marco Di Zio & Mauro Scanu & Lucia Coppola & Orietta Luzi & Alessandra Ponti, 2004. "Bayesian networks for imputation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(2), pages 309-322, May.
  15. Hongyu Wang & Jian Tang & Pengpeng Xu & Rundong Chen & Haona Yao, 2022. "Research on the Influence Mechanism of Street Vitality in Mountainous Cities Based on a Bayesian Network: A Case Study of the Main Urban Area of Chongqing," Land, MDPI, vol. 11(5), pages 1-22, May.
  16. Yang, Min & Wu, Jingxian & Rasouli, Soora & Cirillo, Cinzia & Li, Dawei, 2017. "Exploring the impact of residential relocation on modal shift in commute trips: Evidence from a quasi-longitudinal analysis," Transport Policy, Elsevier, vol. 59(C), pages 142-152.
  17. Svend Rasmussen & Anders L. Madsen & Mogens Lund, 2013. "Bayesian network as a modelling tool for risk management in agriculture," IFRO Working Paper 2013/12, University of Copenhagen, Department of Food and Resource Economics.
  18. Dinis, Duarte & Barbosa-Póvoa, Ana & Teixeira, Ângelo Palos, 2022. "Enhancing capacity planning through forecasting: An integrated tool for maintenance of complex product systems," International Journal of Forecasting, Elsevier, vol. 38(1), pages 178-192.
  19. Silvia SALINI & Ron S. KENETT, 2007. "Bayesian networks of customer satisfaction survey data," Departmental Working Papers 2007-33, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  20. Frank Rijmen & Edward H. Ip & Stephen Rapp & Edward G. Shaw, 2008. "Qualitative longitudinal analysis of symptoms in patients with primary and metastatic brain tumours," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(3), pages 739-753, June.
  21. Tai VoVan & Thao Nguyen Trang, 2018. "Similar Coefficient of Cluster for Discrete Elements," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 80(1), pages 19-36, May.
  22. Kim, Sung-Ho, 2000. "Hyper-EM for large recursive models of categorical variables," Computational Statistics & Data Analysis, Elsevier, vol. 33(4), pages 401-424, June.
  23. Kuroda, Masahiro & Sakakihara, Michio & Geng, Zhi, 2008. "Acceleration of the EM and ECM algorithms using the Aitken [delta]2 method for log-linear models with partially classified data," Statistics & Probability Letters, Elsevier, vol. 78(15), pages 2332-2338, October.
  24. Dinis, D. & Teixeira, A.P. & Guedes Soares, C., 2020. "Probabilistic approach for characterising the static risk of ships using Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
  25. Asadayoobi, N. & Taghipour, S. & Jaber, M.Y., 2022. "Predicting human reliability based on probabilistic mission completion time using Bayesian Network," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
  26. Marco Scutari, 2020. "Bayesian network models for incomplete and dynamic data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(3), pages 397-419, August.
  27. Kim, Seong-Ho & Kim, Sung-Ho, 2006. "A divide-and-conquer approach in applying EM for large recursive models with incomplete categorical data," Computational Statistics & Data Analysis, Elsevier, vol. 50(3), pages 611-641, February.
  28. Jie Fan & Baoyin Liu & Xiaodong Ming & Yong Sun & Lianjie Qin, 2022. "The amplification effect of unreasonable human behaviours on natural disasters," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
  29. Frank Rijmen & Minjeong Jeon & Matthias von Davier & Sophia Rabe-Hesketh, 2014. "A Third-Order Item Response Theory Model for Modeling the Effects of Domains and Subdomains in Large-Scale Educational Assessment Surveys," Journal of Educational and Behavioral Statistics, , vol. 39(4), pages 235-256, August.
  30. Claudia Tarantola & Paola Vicard & Ioannis Ntzoufras, 2012. "Monitoring and Improving Greek Banking Services Using Bayesian Networks: an Analysis of Mystery Shopping Data," Quaderni di Dipartimento 160, University of Pavia, Department of Economics and Quantitative Methods.
  31. Balov, Nikolay, 2011. "A Gaussian mixed model for learning discrete Bayesian networks," Statistics & Probability Letters, Elsevier, vol. 81(2), pages 220-230, February.
  32. Christopher Raphael, 2003. "Bayesian Networks with Degenerate Gaussian Distributions," Methodology and Computing in Applied Probability, Springer, vol. 5(2), pages 235-263, June.
  33. Li, Wenqiang & Gong, Guangcai & Fan, Houhua & Peng, Pei & Chun, Liang, 2020. "Meta-learning strategy based on user preferences and a machine recommendation system for real-time cooling load and COP forecasting," Applied Energy, Elsevier, vol. 270(C).
  34. Minjeong Jeon & Frank Rijmen & Sophia Rabe-Hesketh, 2013. "Modeling Differential Item Functioning Using a Generalization of the Multiple-Group Bifactor Model," Journal of Educational and Behavioral Statistics, , vol. 38(1), pages 32-60, February.
  35. Danilo Gambelli & Francesco Solfanelli & Raffaele Zanoli, 2014. "Feasibility of risk-based inspections in organic farming: results from a probabilistic model," Agricultural Economics, International Association of Agricultural Economists, vol. 45(3), pages 267-277, May.
  36. Hongyue Guo & Xiaodong Liu & Zhubin Sun, 2016. "Multivariate time series prediction using a hybridization of VARMA models and Bayesian networks," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(16), pages 2897-2909, December.
  37. Yi Cao & Xiaoquan Liu & Jia Zhai & Shan Hua, 2022. "A two‐stage Bayesian network model for corporate bankruptcy prediction," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 455-472, January.
  38. Edward H. Ip & Alison Snow Jones & D. Alex Heckert & Qiang Zhang & Edward D. Gondolf, 2010. "Latent Markov Model for Analyzing Temporal Configuration for Violence Profiles and Trajectories in a Sample of Batterers," Sociological Methods & Research, , vol. 39(2), pages 222-255, November.
  39. Zhang, Mingming & Zhou, Simei & Wang, Qunwei & Liu, Liyun & Zhou, Dequn, 2023. "Will the carbon neutrality target impact China's energy security? A dynamic Bayesian network model," Energy Economics, Elsevier, vol. 125(C).
  40. Janssens, Davy & Wets, Geert & Brijs, Tom & Vanhoof, Koen & Arentze, Theo & Timmermans, Harry, 2006. "Integrating Bayesian networks and decision trees in a sequential rule-based transportation model," European Journal of Operational Research, Elsevier, vol. 175(1), pages 16-34, November.
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