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Everything about Recursive Bayesian estimation
Process for estimating a probability density function
In probability theory, statistics, and machine learning, recursive Bayesian estimation, also known as a Bayes filter, is a general probabilistic approach for estimating an unknown probability density function (PDF) recursively over time using incoming measurements and a mathematical process model. The process relies heavily upon mathematical concepts and models that are theorized within a study of prior and posterior probabilities known as Bayesian statistics. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: Recursive Bayesian estimationA 5-minute orientation
- Skim a recent paper: Mobile Robotic Radiation Surveying With Recursive Bayesian Estimation and Attenuation ModelingInfluential work since 2022
- Pick up a classic book: Recursive Identification and Parameter EstimationThe most-reprinted book on the subject
- Read the landmark paper: Recursive bayesian estimation using gaussian sumsCited 734 times
- Go sideways: Kalman filterA closely related topic
- Go sideways: Particle filterA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Recursive bayesian estimation using gaussian sums
Bayesian recursive parameter estimation for hydrologic models
Recursive Bayesian estimation using piece-wise constant approximations
Recursive Bayesian estimation: bearings-only applications
Recursive Bayesian estimation with uncertain observation (Corresp.)
Recursive Bayesian electromagnetic refractivity estimation from radar sea clutter
A Recursive Bayesian Estimation Method for Solving Electromagnetic Nondestructive Evaluation Inverse Problems
Bayesian State Estimation for Markovian Jump Systems: Employing Recursive Steps and Pseudocodes
🆕 Influential since 2022
Mobile Robotic Radiation Surveying With Recursive Bayesian Estimation and Attenuation Modeling
Recursive Bayesian Estimation for Discrete-Time Systems With State-Dependent Packet Dropouts: A Cross-Coupled Method
Multiscan Recursive Bayesian Parameter Estimation of Large-Scene Spatial-Temporally Varying Generalized Pareto Distribution Model of Sea Clutter
Recursive Bayesian estimation of wind load on a monopile-supported offshore wind turbine using output-only measurements
Recursive and batch Bayesian estimation of exponential non-viscous damping systems
đź“š Books worth reading
- 📕Recursive Identification and Parameter EstimationHan-Fu Chen, Wenxiao Zhao · 2014
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
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