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Reference [19] presents a TOA-based NLOS identification method with prior knowledge such as the standard deviation of measurement noise.
The nonlinear inversion method with prior information (Matsu 'ura and Hasegawa, 1987) was used to estimate the parameters of a rectangular fault.
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A key consideration for any practical application of network inference methods with prior information is the trade-off between recapitulating the prior, and discovering novel biology.
In Bayesian method with lognormal prior that uses 2001 data only to define measurement error variance (M4), inferior predictions can be ascribed to improper prior specification, an extreme case of poor prior also illustrated by M6, as well as ignoring the context of 2002 exposures.
Apparently, the phase-based sampling method with the prior importance sampling distribution bears the lowest complexity.
Computer simulations show that the performance complexity tradeoff is optimized for the phase-based sampling method with a prior importance sampling distribution.
Hence, based on the results from Table 1, the phase-based sampling method with the prior importance sampling distribution has the lowest overall complexity.
In their paper, "An adaptively accelerated Bayesian deblurring method with entropy prior," M. K. Singh et al. propose a method for image deblurring that uses a multiplicative correction term and has been calculated using an exponent on the correction factor.
The performance of the classical coverage method and a Bayesian method with vague prior information are comparable and yield a higher safety level when more than 5 test samples are considered.
We call this method multithreshold method with MAF prior.
FABIA: our new method with sparse prior Equation (4).
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