文章介绍了数理统计中实数或向量参数的正函数的后验平均、方差和预测密度的近似计算。

This paper introduces the approximate calculation of real number's or of vector parameter positive function's posterior mean, variance and forecasting density in mathematical statistics.

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频谱参数的预测公式由各基频下的条件概率密度函数导出，频谱参数的修改通过正弦模型实现。

The spectral parameters were predicted using the conditional probabilistic distribution function based on the pitch and were modified synchronizingly with the pitch using the sinusoidal model.

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当状态过程具有马氏性时，还分别给出滤波、预测以及内插的条件分布密度函数的递推格式。

When the state process has Markov property, the recursive formulae for the conditional distribution density functions of filtering, prediction. and interpolation, are given respectively.

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