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Probability Weighting of Spatial Filters*

Journal of the Optical Society of America, 1971
The optimum spatial filter for the detection of randomly located patterns is discussed. When the signal-to-noise (S/N) ratio is low, the optimum filter is described by the product of the Fourier transform of the probability distribution describing the signal location and the conjugate of the signal spatial spectrum divided by the noise spectral density.
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Quantum probability weighted paths

Acta Physica Academiae Scientiarum Hungaricae, 1969
The paper is concerned with the generalization ofFeynman’s method. A real “probability” measure is introduced for weighting trajectories and this is expressed as the boundary case of a measure containing one real parameter. For the finite values of the real parameter an equation of motion of the Fokker-Planck type is used.
openaire   +1 more source

Probability Weighting and Asset Prices

SSRN Electronic Journal, 2012
In the present paper, we estimate a monthly index of aggregate skewness preference. This index is derived from the representative agent's nonparametric probability weighting function. Consistent with findings from lab experiments, probability weighting functions depend on sentiment and their average is inverse-S shaped.
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Probability weighting [PDF]

open access: possibleStata Technical Bulletin, 1993
openaire  

Balancing between over-weighting and under-weighting in supervised term weighting

Information Processing and Management, 2017
Xiaodong Gu, Haibing Wu
exaly  

When to use what: Methods for weighting and aggregating sustainability indicators

Ecological Indicators, 2017
Jianguo Wu   +2 more
exaly  

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