The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
On the Differential Equations Satisfied by Conditional Probablitity Densities of Markov Processes, with Applications
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
New Results in Linear Filtering and Prediction Theory
Kalman, R. E., & Bucy, R. S. (1961) · Journal of Basic Engineering · doi:10.1115/1.3658902 · Cited by 6,387
Introduction to Multivariate Statistical Analysis.
Madow, W. G., & Anderson, T. W. (1959) · The American Mathematical Monthly · doi:10.2307/2308777 · Cited by 3,878
Kushner, H. (1962) · IRE Transactions on Automatic Control · doi:10.1109/tac.1962.1105490 · Cited by 168
Self-citationOptimal Control of Continuous Time, Markov, Stochastic Systems†
FLORENTIN, J. J. (1961) · Journal of Electronics and Control · doi:10.1080/00207216108937350 · Cited by 133
Cited by
On Unscented Kalman Filtering for State Estimation of Continuous-Time Nonlinear Systems
Sarkka, S. (2007) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2007.904453 · Cited by 553
Suboptimal state estimation for continuous-time nonlinear systems from discrete noisy measurements
Athans, M., Wishner, R., & Bertolini, A. (1968) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1968.1098986 · Cited by 395
Applied Stochastic Differential Equations
Särkkä, S., & Solin, A. (2019) · doi:10.1017/9781108186735 · Cited by 326
Quantum formalism for the dynamics of cognitive psychology
Brody, D. C. (2023) · Scientific Reports · doi:10.1038/s41598-023-43403-4 · Cited by 13
Metadata
- Authors
- Kushner, H. J.
- Venue
- Journal of the Society for Industrial and Applied Mathematics Series A Control
- Published
- 1964-01
- Volume
- 2
- Issue
- 1
- Pages
- 106-119
- ISSN
- 0036-1402 (ISSN-L)
- 0887-4603
- OpenAlex
- W2050447955
- Cited by
- 288
- References
- 4
- FWCI
- 9.95
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: On the Differential Equations Satisfied by Conditional Probablitity Densities of Markov Processes, with Applications. https://app.cochat.ai/papers/10.1137/0302009
- The paper
- Kushner, H. J. (1964). On the Differential Equations Satisfied by Conditional Probablitity Densities of Markov Processes, with Applications. Journal of the Society for Industrial and Applied Mathematics Series A Control. https://doi.org/10.1137/0302009
Data sources
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.