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

Ferraioli, Luigi; Porter, Edward K.; Armano, Michele; Audley, Heather; Congedo, Giuseppe; Diepholz, Ingo; Gibert, Ferran; Hewitson, Martin; Hueller, Mauro; Karnesis, Nikolaos; Korsakova, Natalia; Nofrarias, Miquel; Plagnol, Eric; Vitale, Stefano

doi:10.1007/s10686-014-9372-7

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

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.

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Creators:
Ferraioli, Luigi, Author
Porter, Edward K., Author
Armano, Michele, Author
Audley, Heather¹, Author
Congedo, Giuseppe, Author
Diepholz, Ingo¹, Author
Gibert, Ferran, Author
Hewitson, Martin², Author
Hueller, Mauro, Author
Karnesis, Nikolaos, Author
Korsakova, Natalia¹, Author
Nofrarias, Miquel, Author
Plagnol, Eric, Author
Vitale, Stefano, Author

Affiliations:
1Laser Interferometry & Gravitational Wave Astronomy, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, ou_24010
2Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, ou_24011

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Dates: Date issued: 2014

Publication Status: Issued

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Identifiers: DOI: 10.1007/s10686-014-9372-7

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Title: Experimental Astronomy

Other : Exp. Astron.

Source Genre: Journal

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Publ. Info: Dordrecht : Springer

Pages: - Volume / Issue: 37 (1) Sequence Number: - Start / End Page: 109 - 125 Identifier: ISSN: 0922-6435
CoNE: https://pure.mpg.de/cone/journals/resource/954925382054