On sequential Monte Carlo sampling methods for Bayesian filtering

2000 · Statistics and Computing · 4,459 citations · 6 from inside this corpus

Arnaud Doucet, Simon Godsill, Christophe Andrieu

No abstract in the source record.

9 of 9 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

Paper	Year	Cited
Novel approach to nonlinear/non-Gaussian Bayesian state estimation	1993	7,639
Optimal Filtering	1982	3,247
Bayesian Forecasting and Dynamic Models	1997	1,963

What cites it, inside the corpus

Paper	Year	Cited
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking	2002	11,564
An Introduction to MCMC for Machine Learning	2003	2,430
Sequential Monte Carlo Samplers	2006	1,715
Particle filters for positioning, navigation, and tracking	2002	1,703
The Unscented Particle Filter	2000	1,419
A Tutorial on Particle Filtering and Smoothing: Fifteen years later	2008	1,407

Links

DOI · OpenAlex record

Topics

Target Tracking and Data Fusion in Sensor Networks	Computer Science
Bayesian Methods and Mixture Models	Computer Science
Statistical Methods and Bayesian Inference	Mathematics

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

supports3 author record(s) attached.
supports43 reference(s) recorded.
neutralThe DOI carries no year to check against.
supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:44+00:00.

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