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Behind the Numbers: Inverse Probability Weighting

Radiology, 2014
Inverse probability weighting is a propensity score-based technique that can be used to compensate for imbalance in study groups. It is an alternative to regression-based adjustment of the outcomes. It has advantages over matching of cases on the basis of propensity scores when there are more than two groups to compare, when finding matches results in ...
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On Scatters of Probability Distributions and OWA Weights Collections

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2019
This study proposes a novel concept of Scatter for probability distribution (on [0,1]). The proposed measurement is different from famous Shannon Entropy since it considers [0,1] as a chain instead of a normal set. The measurement works easily and reasonably in practice and conforms to human intuition.
LeSheng Jin   +2 more
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Attention-driven probability weighting

Economics Letters, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Generalized weighted random convergence in probability

Applied Mathematics and Computation, 2014
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Emotional balance and probability weighting

Theory and Decision, 2012
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Charupat, Narat   +4 more
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Tail Inference With Probability Weighted Moments

Mathematical Methods in the Applied Sciences
ABSTRACTThe tail of a probability distribution captures important information about the magnitude and frequency of extreme events. Thus, understanding the tail behavior is crucial in decision making and risk assessment. Statistical analysis and predictions of extreme events often require the estimation of the extreme value index, a key parameter that ...
Frederico Caeiro   +2 more
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Probability inequalities for weighted distributions

Journal of Statistical Planning and Inference, 2012
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Li, Ying, Yu, Li, Hu, Taizhong
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Tensor products and probability weights

International Journal of Theoretical Physics, 1987
We study a general tensor product for two collections of related physical operations or observations. This is a free product, subject only to the condition that the operations in the first collection fail to have any influence on the statistics of operations in the second collection and vice versa.
Kläy, M., Randall, C., Foulis, D.
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Weighted Probability Density Estimator with Updated Bandwidths

Journal of Systems Science and Complexity
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Yi Wu   +3 more
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Additive weights under the Balanced Probability Model

Computing, 1995
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