Constructive approximations to the q=1/2 maximum entropy distribution from redundant and noisy data.

Constructive approximations to the q=1/2 maximum entropy distribution from redundant and noisy data.
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来自冗余和噪声数据的 q=1/2 最大熵分布的建设性近似。

DOI:
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发表时间:
2004
期刊:
Physical review. E, Statistical, nonlinear, and soft matter physics
影响因子:
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通讯作者:
A. Plastino
A. Plastino
中科院分区:
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文献类型:
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作者:
L. Rebollo;A. Plastino

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考虑从冗余和噪声数据构造 q=1/2 非广延最大熵分布的问题。提出了一项战略,该战略通过以下步骤演变。 (i) 首先通过这里讨论的数据无关技术来预先选择独立约束。 (ii) 数据是后验数据,用于通过先前引入的前向方法确定分布参数。 (iii) 提出了一种后向方法来减少这种分布的参数。这里对之前介绍的前向方法进行了概括,以使其适合处理非常嘈杂的数据。
The problem of constructing the q=1/2 nonextensive maximum entropy distributions from redundant and noisy data is considered. A strategy is proposed, which evolves through the following steps. (i) Independent constraints are first preselected by recourse to a data-independent technique to be discussed here. (ii) The data are a posteriori used to determine the parameters of the distribution by a previously introduced forward approach. (iii) A backward approach is proposed for reducing the parameters of such distribution. The previously introduced forward approach is generalized here in order to make it suitable for dealing with very noisy data.