Improving Bayesian analysis for LISA Pathfinder using an efficient Markov Chain Monte Carlo method
We present a parameter estimation procedure based on a Bayesian framework by applying a Markov Chain Monte Carlo algorithm to the calibration of the dynamical parameters of the LISA Pathfinder satellite. The method is based on the Metropolis-Hastings algorithm and a two-stage annealing treatment in...
| Main Authors: | , , , , , , , , , , , , , |
|---|---|
| 格式: | Journal article |
| 語言: | English |
| 出版: |
2014
|