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A Bayesian treatment of the problem of detecting an unmodelled gravitational wave burst with a global network of gravitational wave observatories reveals that several previously proposed statistics have implicit biases that render them sub-optimal for realistic signal populations.
Phys. Rev. D
Y. Gursel and M. Tinto · 1989
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Phys. Rev. D
W. G. Anderson, P. R. Brady, J. D. E. Creighton, and É. É. Flanagan · 2001
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Phys. Rev. D
S. Klimenko, S. Mohanty, M. Rakhmanov, and G. Mitselmakher · 2005
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Coherent network analysis technique for discriminating gravitational-wave bursts from instrumental noise
S. Chatterji, A. Lazzarini, L. Stein, P. Sutton, A. Searle, and M. Tinto · 2006
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Constraint likelihood method: Generalization for colored noise
S. Klimenko, S. Mohanty, M. Rakhmanov, and G. Mitselmakher · 2006
Cited alongside, same era.
Variability of signal to noise ratio and the network analysis of gravitational wave burst signals
S. Mohanty, M. Rakhmanov, S. Klimenko, and G. Mitselmakher · 2006
Cited alongside, same era.
Rank deficiency and tikhonov regularization in the inverse problem for gravitational-wave bursts
M. Rakhmanov · 2006
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J. Clark, Ik Siong Heng, M. Pitkin, and G. Woan · 2007
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