Wearable data assimilation to estimate the circadian phase
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Publication:6597832
DOI10.1137/22m1509680MaRDI QIDQ6597832
Minki P. Lee, Daniel B. Forger, Daewook Kim
Publication date: 4 September 2024
Published in: SIAM Journal on Applied Mathematics (Search for Journal in Brave)
Physiology (general) (92C30) Computational methods for problems pertaining to biology (92-08) Biological rhythms and synchronization (92B25) Mathematical modeling or simulation for problems pertaining to biology (92-10)
Cites Work
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- Ensemble samplers with affine invariance
- Curvature and the evolution of fronts
- Reentrainment of the circadian pacemaker during jet lag: east-west asymmetry and the effects of north-south travel
- Starting, stopping, and resetting biological oscillators: in search of optimum perturbations
- Stochastic processes in cell biology
- Reconciling Mathematical Models of Biological Clocks by Averaging on Approximate Manifolds
- Approximation and inference methods for stochastic biochemical kinetics—a tutorial review
- Cubature Kalman Filtering for Continuous-Discrete Systems: Theory and Simulations
- Cubature Kalman Filters
- The level set Kalman filter for state estimation of continuous-discrete systems
- New results in linear filtering and prediction theory
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