Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
}
TY - CHAP
T1 - Particle learning approach to Bayesian model selection
T2 - an application from neurology
AU - Taylor, Simon
AU - Ridall, Gareth
AU - Sherlock, Christopher
AU - Fearnhead, Paul
PY - 2014
Y1 - 2014
N2 - An improved method is sought to accurately quantify the number of motor units that operate a working muscle. Measurements of a muscle’s contractive potential are obtained by administering a sequence of electrical stimuli. However, the firing patterns of the motor units are non-deterministic and therefore estimating their number is non-trivial. We consider a state-space model that assumes a fixed number of motor units to describe the hidden processes within the body. Particle learning methodology is applied to estimate the marginal likelihood for a range of models that assumes a different number of motor units. Simulation studies of these systems, containing up to 5 motor units, are very promising.
AB - An improved method is sought to accurately quantify the number of motor units that operate a working muscle. Measurements of a muscle’s contractive potential are obtained by administering a sequence of electrical stimuli. However, the firing patterns of the motor units are non-deterministic and therefore estimating their number is non-trivial. We consider a state-space model that assumes a fixed number of motor units to describe the hidden processes within the body. Particle learning methodology is applied to estimate the marginal likelihood for a range of models that assumes a different number of motor units. Simulation studies of these systems, containing up to 5 motor units, are very promising.
U2 - 10.1007/978-3-319-02084-6_32
DO - 10.1007/978-3-319-02084-6_32
M3 - Chapter
SN - 9783319020839
T3 - Springer Proceedings in Mathematics and Statistics
SP - 165
EP - 167
BT - The contribution of young researchers to Bayesian statistics
A2 - Lanzarone, Ettore
A2 - Leva, Francesca
PB - Springer
ER -