The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
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(1988) · Cited by 16,582
Novel approach to nonlinear/non-Gaussian Bayesian state estimation
Gordon, N. J., Salmond, D. J., & Smith, A. F. M. (1993) · IEE Proceedings F Radar and Signal Processing · doi:10.1049/ip-f-2.1993.0015 · Cited by 7,550
Sequential Monte Carlo Methods in Practice
(2001) · Springer eBooks · doi:10.1007/978-1-4757-3437-9 · Cited by 7,366
Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
GREEN, P. J. (1995) · Biometrika · doi:10.1093/biomet/82.4.711 · Cited by 5,930
On sequential Monte Carlo sampling methods for Bayesian filtering
Doucet, A., Godsill, S., & Andrieu, C. (2000) · Statistics and Computing · doi:10.1023/a:1008935410038 · Cited by 4,411
Robust Model-Based Fault Diagnosis for Dynamic Systems
Chen, J., & Patton, R. J. (1999) · The International Series on Asian Studies in Computer and Information Science · doi:10.1007/978-1-4615-5149-2 · Cited by 4,262
Filtering via Simulation: Auxiliary Particle Filters
Pitt, M. K., & Shephard, N. (1999) · Journal of the American Statistical Association · doi:10.1080/01621459.1999.10474153 · Cited by 2,438
Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models
Kitagawa, G. (1996) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.1996.10474692 · Cited by 2,404
Sequential Monte Carlo Methods for Dynamic Systems
Liu, J. S., & Chen, R. (1998) · Journal of the American Statistical Association · doi:10.1080/01621459.1998.10473765 · Cited by 2,191
Data Structures and Algorithms
(2003) · Series on software engineering and knowledge engineering · doi:10.1142/9789812791245 · Cited by 2,117
Cited by
An introduction to MCMC for machine learning.
Andrieu, C., de Freitas, N., Doucet, A., & Jordan, M. I. (2003) · Machine Learning · doi:10.1023/a:1020281327116 · Cited by 2,451
Towards robotic assistants in nursing homes: Challenges and results
Pineau, J., Montemerlo, M., Pollack, M., Roy, N., & Thrun, S. (2003) · Robotics and Autonomous Systems · doi:10.1016/s0921-8890(02)00381-0 · Cited by 640
Anticipating Human Activities Using Object Affordances for Reactive Robotic Response
Koppula, H. S., & Saxena, A. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2430335 · Cited by 596
Simultaneous localization and mapping with unknown data association using FastSLAM
Montemerlo, M., & Thrun, S. (2004) · 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422) · doi:10.1109/robot.2003.1241885 · Cited by 462
Model based vehicle detection and tracking for autonomous urban driving
Petrovskaya, A., & Thrun, S. (2009) · Autonomous Robots · doi:10.1007/s10514-009-9115-1 · Cited by 430
Metadata
- Authors
- Murphy, K., & Russell, S.
- Venue
- Sequential Monte Carlo Methods in Practice
- Publisher
- Springer New York
- Published
- 2001
- Pages
- 499-515
- OpenAlex
- W2149020252
- Cited by
- 1,157
- References
- 32
- FWCI
- 54.61
- Type
- book chapter
- Language
- en
- Open access
- closed
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- Murphy, K., & Russell, S. (2001). Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. Sequential Monte Carlo Methods in Practice. https://doi.org/10.1007/978-1-4757-3437-9_24
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
