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Monte Carlo sampling methods using Markov chains and their applications

Citations

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Cited by:

  1. Tabandeh, Armin & Jia, Gaofeng & Gardoni, Paolo, 2026. "Langevin importance sampling for reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 266(PA).
  2. Nils Goeken & Peter Kurz & Winfried J. Steiner, 2025. "Identifying nested preference structures in choice models based on stated choice data," Journal of Business Economics, Springer, vol. 95(8), pages 1141-1188, November.
  3. Kevin Duijndam & Ger Koole & Rob Mei, 2025. "Bayesian reinforcement learning to optimize paid ancillary revenue in the airline industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(6), pages 551-567, December.
  4. Lu Yao & Taotao Cheng & Jiao Luo & Xintian Liu, 2026. "Weibull distribution-based reliability evaluation of cutting tool via improved Bayesian-Bootstrap method," Journal of Risk and Reliability, , vol. 240(1), pages 185-199, February.
  5. Mitra Kharabati & Morteza Amini & Mohammad Arashi, 2026. "Variational inference for sparse poisson regression," Computational Statistics, Springer, vol. 41(3), pages 1-50, April.
  6. Akanksha Kumari & Vikas Kumar Sharma, 2025. "Bayes estimation of defective proportion for single shot device testing data with information on masking and manufacturing defects," Journal of Risk and Reliability, , vol. 239(5), pages 1041-1060, October.
  7. Yu-sheng Cheng & Mei-wen Ding & Ye-mao Xia & Wen-fa Zhan, 2014. "Bayesian Analysis for Dynamic Generalized Linear Latent Model with Application to Tree Survival Rate," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).
  8. Xiao, Sinan & Nowak, Wolfgang, 2026. "Reliability sensitivity analysis with multiple failure domains based on an extended two-stage Markov chain Monte Carlo simulation," Reliability Engineering and System Safety, Elsevier, vol. 266(PA).
  9. Ye-Mao Xia & Jian-Wei Gou, 2016. "Assessing Heterogeneity for Factor Analysis Model with Continuous and Ordinal Outcomes," Journal of Applied Mathematics, John Wiley & Sons, vol. 2016(1).
  10. Hanieh Panahi, 2025. "Reliability estimation and order-restricted inference based on joint type-II progressive censoring scheme with application to splashing data in atomization process," Journal of Risk and Reliability, , vol. 239(2), pages 225-235, April.
  11. Shuchismita Sarkar & Volodymyr Melnykov, 2025. "Detecting Anomalies in European Trade Data Using Directed Weighted Multilayer Dynamic Networks," Journal of Classification, Springer;The Classification Society, vol. 42(3), pages 544-564, November.
  12. Franco Bagnoli & Tommaso Matteuzzi, 2025. "Metastability in the diluted parallel Ising model," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 98(10), pages 1-10, October.
  13. Yuanying Zhao & Xingde Duan, 2022. "Bayesian Adaptive Lasso for Regression Models with Nonignorable Missing Responses," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
  14. Abi I. Riley & Marta Blangiardo & Frédéric B. Piel & Andrew Beddows & Sean Beevers & Gary W. Fuller & Paul Agnew & Monica Pirani, 2026. "A Bayesian Multisource Fusion Model for Spatiotemporal PM2.5$$ {\mathrm{PM}}_{2.5} $$ in an Urban Setting," Environmetrics, John Wiley & Sons, Ltd., vol. 37(1), January.
  15. Adam T Biggs & Joseph A Hamilton & Rachel R Markwald, 2025. "Challenges of incorporating wounded personnel into small arms combat simulations," The Journal of Defense Modeling and Simulation, , vol. 22(2), pages 207-214, April.
  16. Sunita Sharma & Vinod Kumar, 2026. "Reliability estimation in a two-unit hot standby system under classical and Bayesian inferential framework," Journal of Risk and Reliability, , vol. 240(1), pages 105-120, February.
  17. Faton Merovci & Vikas Kumar Sharma, 2014. "The Beta‐Lindley Distribution: Properties and Applications," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).
  18. Vikas Barnwal & C. P. Yadav & M. S. Panwar, 2026. "Objective Bayesian approach for recall-based time-to-event studies: an application to breastfeeding data," Statistical Papers, Springer, vol. 67(3), pages 1-26, June.
  19. Z. Karimi Ezmareh & G. Yari, 2022. "Statistical Inference of Stress‐Strength Reliability of Gompertz Distribution under Type II Censoring," Advances in Mathematical Physics, John Wiley & Sons, vol. 2022(1).
  20. Mylène Bédard, 2025. "Non-stationary Phase of the Metropolis-adjusted Langevin Algorithm with Annealed Proposals," Methodology and Computing in Applied Probability, Springer, vol. 27(4), pages 1-40, December.
  21. Andrés Ramírez–Hassan & Juan David Rengifo–Castro & Miguel Manzur & Estephania Rueda-Ramírez, 2025. "Approximate Bayesian computation to estimate persistent and transient efficiency in stochastic frontier panel data models," Journal of Productivity Analysis, Springer, vol. 64(2), pages 145-166, October.
  22. Matthias Schmal & Patrick Mäder, 2026. "Reliable uncertainty estimates in deep learning with efficient Metropolis-Hastings algorithms," Nature Communications, Nature, vol. 17(1), pages 1-12, December.
  23. Yanhui Xi & Hui Peng & Yemei Qin, 2016. "Modeling Financial Time Series Based on a Market Microstructure Model with Leverage Effect," Discrete Dynamics in Nature and Society, John Wiley & Sons, vol. 2016(1).
  24. Mahendra Saha & Govindasamy Gopal & Abhimanyu Singh Yadav, 2025. "Bayesian estimation of the process capability index $${\mathcal {C}}_{pc}$$ C pc under type II progressive censoring scheme," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(12), pages 4069-4085, December.
  25. Amal S. Hassan & Ehab M. Almetwally, 2026. "Statistical Inference for Multi-Stress-Strength Reliability Under Inverse Weibull Distribution with Progressive Type II Censoring and Random Removal," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 88(1), pages 252-291, February.
  26. Lindhe, Adam & Orrenius, Johan, 2026. "Defining Geographic Markets Through Choice Sets: An Empirical Method Applied to Real Estate Brokerage," Working Paper Series 1558, Research Institute of Industrial Economics.
  27. Adam T Biggs & Joseph A Hamilton & Rachel R Markwald, 2025. "Identifying appropriate scenario termination rules for squad-level simulations of warfighter lethality," The Journal of Defense Modeling and Simulation, , vol. 22(4), pages 521-528, October.
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