The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Piecewise-Deterministic Markov Processes: A General Class of Non-Diffusion Stochastic Models
Abstract
SUMMARY: A general class of non-diffusion stochastic models is introduced with a view to providing a framework for studying optimization problems arising in queueing systems, inventory theory, resource allocation and other areas. The corresponding stochastic processes are Markov processes consisting of a mixture of deterministic motion and random jumps. Stochastic calculus for these processes is developed and a complete characterization of the extended generator is given; this is the main technical result of the paper. The relevance of the extended generator concept in applied problems is discussed and some recent results on optimal control of piecewise-deterministic processes are described.
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Cites
Deterministic and Stochastic Optimal Control.
Bather, J. A., Fleming, W. H., & Rishel, R. (1976) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2344363 · Cited by 2,690
Reversibility and Stochastic Networks
Cohen, J. E., & Kelly, F. P. (1981) · Technometrics · doi:10.1080/00401706.1981.10486278 · Cited by 2,212
Multidimensional Diffusion Processes
Stroock, D. W., & Varadhan, S. R. S. (1997) · Springer eBooks · doi:10.1007/3-540-28999-2 · Cited by 2,009
Point Processes and Queues: Martingale Dynamics.
Vere-Jones, D., & Bremaud, P. (1983) · Journal of the American Statistical Association · doi:10.2307/2288173 · Cited by 1,065
On the Theoretical Specification and Sampling Properties of Autocorrelated Time-Series
Bartlett, M. S. (1946) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.2307/2983611 · Cited by 908
Approximation of Population Processes
Kurtz, T. G. (1981) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611970333 · Cited by 605
Theory and Applications of Stochastic Differential Equations
Schuss, Z., & O’Malley, R. E. (1981) · Physics Today · doi:10.1063/1.2914346 · Cited by 509
Eddy, A. A. (1982) · Advances in Microbial Physiology · doi:10.1016/s0065-2911(08)60341-0 · Cited by 222
Hamilton-Jacobi equations in Hilbert spaces
Barbu, V., & Prato, G. D. (1983) · Medical Entomology and Zoology · Cited by 166
The Availability of a System of Two Unreliable Machines Connected by an Intermediate Storage Tank
Malathronas, J. P., Perkins, J. D., & Smith, R. L. (1983) · IIE Transactions · doi:10.1080/05695558308974634 · Cited by 28
Cited by
Controlled Markov Processes and Viscosity Solutions
(2006) · Stochastic Modelling and Applied Probability · doi:10.1007/0-387-31071-1 · Cited by 2,684
Age of Information: An Introduction and Survey
Yates, R. D., Sun, Y., Brown, D. R., Kaul, S. K., Modiano, E., & Ulukus, S. (2021) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2021.3065072 · Cited by 1,160
Models and Algorithms for Tracking of Maneuvering Objects Using Variable Rate Particle Filters
Godsill, S. J., Vermaak, J., Ng, W., & Li, J. F. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2007.894708 · Cited by 81
Metadata
- Authors
- Davis, M. H. A.
- Venue
- Journal of the Royal Statistical Society Series B: Statistical Methodology
- Publisher
- Oxford University Press (OUP)
- Published
- 1984-07-01
- Volume
- 46
- Issue
- 3
- Pages
- 353-376
- ISSN
- 1369-7412 (ISSN-L)
- 1467-9868
- OpenAlex
- W91439453
- Cited by
- 1,121
- References
- 10
- FWCI
- 19.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- Davis, M. H. A. (1984). Piecewise-Deterministic Markov Processes: A General Class of Non-Diffusion Stochastic Models. Journal of the Royal Statistical Society Series B: Statistical Methodology. https://doi.org/10.1111/j.2517-6161.1984.tb01308.x
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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.