Trajectory inference and parameter estimation in stochastic models with temporally aggregated data

DOI10.1007/S11222-017-9779-XzbMath1405.62121OpenAlexW2764169974WikidataQ57660399 ScholiaQ57660399MaRDI QIDQ1616781

Maria Myrto Folia, Magnus Rattray

Publication date: 7 November 2018

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11222-017-9779-x

zbMATH Keywords

parameter estimationKalman filtertime aggregationlinear noise approximationstochastic systems biology

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Nonparametric estimation (62G05) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45)

Uses Software

• PRMLT

Cites Work

• The random walk Metropolis: linking theory and practice through a case study
• Parameter estimation in stochastic differential equations with Markov chain Monte Carlo and non-linear Kalman filtering
• Quantifying intrinsic and extrinsic noise in gene transcription using the linear noise approximation: an application to single cell data
• Stochastic processes and filtering theory
• Inference for reaction networks using the linear noise approximation
• Bayesian Inference for Stochastic Kinetic Models Using a Diffusion Approximation
• Handbook of stochastic methods for physics, chemistry and the natural sciences.
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