English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Improving Bayesian analysis for LISA Pathfinder using an efficient Markov Chain Monte Carlo method

MPS-Authors
/persons/resource/persons41581

Audley,  Heather
Laser Interferometry & Gravitational Wave Astronomy, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

/persons/resource/persons40441

Diepholz,  Ingo
Laser Interferometry & Gravitational Wave Astronomy, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

/persons/resource/persons40525

Hewitson,  Martin
Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

Korsakova,  Natalia
Laser Interferometry & Gravitational Wave Astronomy, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

ExAstro37_109.pdf
(Any fulltext), 2MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Ferraioli, L., Porter, E. K., Armano, M., Audley, H., Congedo, G., Diepholz, I., et al. (2014). Improving Bayesian analysis for LISA Pathfinder using an efficient Markov Chain Monte Carlo method. Experimental Astronomy, 37(1), 109-125. doi:10.1007/s10686-014-9372-7.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002A-805B-7
Abstract
There is no abstract available