Fisher Information Matrix for Single Molecules with Stochastic Trajectories
DOI10.1137/19M1242562zbMath1441.92024arXiv1808.02195OpenAlexW3101776396MaRDI QIDQ5108473
Raimund J. Ober, Milad R. Vahid, Bernard Hanzon
Publication date: 4 May 2020
Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1808.02195
stochastic differential equationmaximum likelihood estimationFisher information matrixCramér-Rao lower boundobject trackingsingle molecule microscopy
Applications of statistics to biology and medical sciences; meta analysis (62P10) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Biomedical imaging and signal processing (92C55) Cell biology (92C37)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- On particle methods for parameter estimation in state-space models
- System identification of nonlinear state-space models
- A stochastic analysis of performance limits for optical microscopes
- Theory and applications of stochastic processes. An analytical approach
- The Fokker-Planck equation. Methods of solutions and applications.
- Stochastic processes and filtering theory
- Limit of the Accuracy of Parameter Estimation for Moving Single Molecules Imaged by Fluorescence Microscopy
- Bayesian Tracking and Parameter Learning for Non-Linear Multiple Target Tracking Models
- Principles of Optics
This page was built for publication: Fisher Information Matrix for Single Molecules with Stochastic Trajectories