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AN IMPROVED STOCHASTIC MODELING FOR BAYESIAN WAVE ESTIMATION.

机译:贝叶斯波估计的改进的随机建模。

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摘要

A modified Bayesian modeling procedure for wave estimation is proposed. In this method, errors in the estimates of ship response functions can be taken into account. In order to discuss the relationship between the minimum ABIC and the accuracy of the estimated wave parameters, the ABIC surfaces and the optimum area of the wave estimation are shown with respect to the two hyperparameters. As a result, the modified Bayesian modeling makes the ABIC surface smoother and can provide stable wave estimation. This concludes that the modified Bayesian modeling is reliable within a certain accuracy to estimate the wave parameters.
机译:提出了一种改进的贝叶斯建模方法,用于波浪估计。在这种方法中,可以考虑船舶响应函数估计中的误差。为了讨论最小ABIC与估计波参数的准确性之间的关系,相对于两个超参数,显示了ABIC表面和波估计的最佳面积。结果,改进的贝叶斯建模使ABIC表面更平滑,并可以提供稳定的波估计。得出的结论是,改进的贝叶斯模型在一定的精度范围内可以可靠地估计波浪参数。

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